From af888d383868755c6cdc8a4e04dfa5ca979710aa Mon Sep 17 00:00:00 2001 From: Malvika Sharan Date: Sun, 7 Apr 2024 12:34:43 +0100 Subject: [PATCH 01/22] Rename digital-Infrastructure-insights-fund.md to 2023-10-digital-Infrastructure-insights-fund.md --- ...ts-fund.md => 2023-10-digital-Infrastructure-insights-fund.md} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename project_management/proposals/{digital-Infrastructure-insights-fund.md => 2023-10-digital-Infrastructure-insights-fund.md} (100%) diff --git a/project_management/proposals/digital-Infrastructure-insights-fund.md b/project_management/proposals/2023-10-digital-Infrastructure-insights-fund.md similarity index 100% rename from project_management/proposals/digital-Infrastructure-insights-fund.md rename to project_management/proposals/2023-10-digital-Infrastructure-insights-fund.md From 72d2cf758bf598d222c0d71326738c85265a6fd4 Mon Sep 17 00:00:00 2001 From: Malvika Sharan Date: Sun, 7 Apr 2024 12:36:09 +0100 Subject: [PATCH 02/22] Rename jupyter-workshop-application-20191215.md to 2019-12-jupyter-workshop-application.md --- ...cation-20191215.md => 2019-12-jupyter-workshop-application.md} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename project_management/proposals/{jupyter-workshop-application-20191215.md => 2019-12-jupyter-workshop-application.md} (100%) diff --git a/project_management/proposals/jupyter-workshop-application-20191215.md b/project_management/proposals/2019-12-jupyter-workshop-application.md similarity index 100% rename from project_management/proposals/jupyter-workshop-application-20191215.md rename to project_management/proposals/2019-12-jupyter-workshop-application.md From 319e4b107d36dc2328e4c93aa937a9b73a89fdb9 Mon Sep 17 00:00:00 2001 From: Malvika Sharan Date: Sun, 7 Apr 2024 12:36:31 +0100 Subject: [PATCH 03/22] Rename tps-funding-application-20190429.md to 2019-04-tps-funding-application.md --- ...application-20190429.md => 2019-04-tps-funding-application.md} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename project_management/proposals/{tps-funding-application-20190429.md => 2019-04-tps-funding-application.md} (100%) diff --git a/project_management/proposals/tps-funding-application-20190429.md b/project_management/proposals/2019-04-tps-funding-application.md similarity index 100% rename from project_management/proposals/tps-funding-application-20190429.md rename to project_management/proposals/2019-04-tps-funding-application.md From 43fb849d7149b35f140990b75133bb242285673b Mon Sep 17 00:00:00 2001 From: Malvika Sharan Date: Sun, 7 Apr 2024 12:37:34 +0100 Subject: [PATCH 04/22] Create 2024-03-CZI-RfI-localisation.md --- .../proposals/2024-03-CZI-RfI-localisation.md | 43 +++++++++++++++++++ 1 file changed, 43 insertions(+) create mode 100644 project_management/proposals/2024-03-CZI-RfI-localisation.md diff --git a/project_management/proposals/2024-03-CZI-RfI-localisation.md b/project_management/proposals/2024-03-CZI-RfI-localisation.md new file mode 100644 index 00000000000..f50027698bb --- /dev/null +++ b/project_management/proposals/2024-03-CZI-RfI-localisation.md @@ -0,0 +1,43 @@ +# CZI - Request for Information : Localisation Hub + +- Title of idea/information + +Open Science Localisation Hub + +- Describe the problem or challenge (200 words maximum) + +Advances in science must reflect the breadth of humanity if they are to serve all of humanity equally. While open science can engage a global research community, the dominance of English resources creates barriers for non-English-speaking stakeholders, hindering their participation in scientific progress. With 94% of the global population not speaking English as their first language, and 75% not speaking it at all, the lack of multilingual resources pose challenges in collaboration between international teams. In fields like biomedical research, active inclusion and participation of diverse stakeholders are essential for global knowledge production and sharing outputs to improve health outcomes for all. + +Everyone, regardless of language, nationality, or discipline, should have equal opportunities to engage and benefit from scientific advancements. Closing this knowledge gap, therefore, is critical for widening participation and leadership in open science and research. We propose investment in targeted localization and translation, enabling readers to access knowledge in their preferred language and with local contexts. + +There is often an unspoken assumption that knowledge flows only from English to other languages. This assumption overlooks the richness and diversity of knowledge, as well as the various knowledge types that coexist beyond the hegemony of the Global North. Open science must facilitate knowledge flow in all directions and in diverse forms. The goal of this project is to establish socio-technical infrastructures that enable open, safe, democratic and horizontal collaboration and discussion, fostering practices and norms of multilingual approaches, thereby promoting a more balanced and diverse scientific landscape. + +- Describe how this problem or challenge could be addressed. Include who could be involved, resources needed, and a rough time scale (200 words maximum). + +We propose establishing a community-led Open Science Localization Hub to provide resources, expertise, and infrastructure for coordinating, connecting, and supporting open localization efforts. This hub will serve as a global, collaborative platform aimed at recognizing, elevating, and supporting localization work across various open science and research initiatives. Coordinated by The Turing Way, the hub will involve leaders from diverse communities with extensive experience in leading international communities and facilitating community-led localization. + +The hub will convene a community of practice, host educational workshops/training, offer fellowships/stipends, do awareness raising and provide customized support to people either leading localization efforts or requiring localization/translation related assistance. Goals will be prioritized from a range of needs identified by the community members that include developing open-source tools and platforms, advocating for policy and funding, researching governance-based localization, establishing bi-directional localization workflows, and integrating community-led localization within Open Science frameworks. Long-term goals include establishing common standards for community-led localization, informed by research analyses and case studies of existing practices. + +The hub will be piloted with Latin American researchers. Contributors and stakeholders will include Andrea Sánchez-Tapia (R Community, The Turing Way localization), Batool Almarzouq (The Turing Way, Open Science Community Saudi Arabia), Yanina Bellini Saibene (rOpenSci, R-Ladies), Riva Quiroga (RLadies), Nicolas Palopoli (MetaDocencia), and Reshama Shaikh (Data Umbrella). Additional contributors will be invited. Malvika Sharan and Kirstie Whitaker are the co-leads of The Turing Way, who will provide institutional support. + + +- Describe the value proposition of your idea/solution to Latin American biomedical researchers and any relevant potential outcomes (200 words maximum) + +This proposal will be piloted with the involvement of Latin American open science and research communities in the hub. A Localization Research Network will draw Latin American researchers from disciplines such as biomedical research, where immediate benefits of localization can be demonstrated openly. This network will advise, inform, and establish community-led localization standards, provide training opportunities, and share resources on localization practices, encouraging a bi-directional flow of localization efforts, accessibility, and benefits of scientific resources. + +By collaborating with Latin American institutions and communities that have effectively integrated localization into their agenda, we will openly recognize and reward champions and practitioners for their work, such as fellowships, stipends, or other value. The hub will also highlight pathways for academics to stay involved in translating their work, mentor others, and consult with other organizations to continuously refine the localization approach. This effort will be connected with the Wellcome-funded Data Science Without Borders projects that The Turing Way is participating in, to work with biomedical researchers from African institutions. In the future, the hub will also involve communities from other geographical contexts. Our vision is for localization practices to become normalized, sustained by a community of advocates who are recognized and supported by institutes. + +- Progress made to date (200 words maximum; optional) + +This idea was first shared as a concept note in 2022 by members of OLS, IOI, CS&S, and The Alan Turing Institute (The Turing Way), reflecting on their work across international open science communities. It highlighted possible solutions to address gaps around localization efforts in capacity-building and research, the latter identified in Batool Almarzouq’s research on open source. + +This submission further draws from the community-led translation work in The Turing Way that started in 2020 and has been completely volunteer-led (a reflection of a lack of funding dedicated to localization in research). In 2023, a workshop was hosted at the CZI meeting in Argentina to present this work that engaged attendees in exploring the needs, challenges, and roles of a localization infrastructure hub. Follow-up workshops connected attendees with ongoing efforts and co-developed logic models relating to different missions for the hub. + +The localization and translation working group in The Turing Way is co-led by Batool, alongside Melissa Black and Andrea Sánchez-Tapia, open science practitioners from Latin America who currently facilitate translations in 8 languages, including Portuguese and Spanish (https://turingway.crowdin.com/turing-way). They host regular meetings convening contributors from across different communities and have presented their work at international conferences like CSV-Conf, Write The Docs, CarpentryCon, FORCE11, FOSS, Einstein Foundation Symposium, among others. + + +- Anything else you would like to share? + +Coordinated by The Turing Way, the Localization Hub will build on and expand the localization work currently undertaken by The Turing Way community and open science practitioners. For more information, see workshop https://bit.ly/4ajv8Ti and Miro: https://bit.ly/3IYIzvS. +The Turing Way is a community-led open-source project that documents and promotes best practices in data science and research. Over 470 international contributors have written 350+ subchapters and delivered 250+ talks and workshops globally. The book is accessed by over 6,000 users monthly worldwide, including in Latin America. The team has collaborated with members from over 50 international organizations, with institutions including LA-CoNGA physics (multiple Latin American countries), ARPHAI (Argentina), University of São Paulo (Brazil), APHRC (Kenya), and Open Science Community Saudi Arabia (OSCSA) among contributors who have expanded the reach of The Turing Way in Global South communities. +Beyond translation work, The Turing Way Localization Group has put significant effort into two aspects: 1) governance to co-govern the human infrastructure mobilized in the localization efforts; 2) infrastructure integration, the technical publishing tools used in our workflows. Each language team creates localization guidelines to record language-specific recommendations. A proposal was also developed to sustain this: https://bit.ly/3TKoKgO. From 08ee33db0bdf256efddbe2bcab2d531ca8a465fa Mon Sep 17 00:00:00 2001 From: Malvika Sharan Date: Sun, 7 Apr 2024 12:44:39 +0100 Subject: [PATCH 05/22] Create 2022-02-Athena-Award.md --- .../proposals/2022-02-Athena-Award.md | 119 ++++++++++++++++++ 1 file changed, 119 insertions(+) create mode 100644 project_management/proposals/2022-02-Athena-Award.md diff --git a/project_management/proposals/2022-02-Athena-Award.md b/project_management/proposals/2022-02-Athena-Award.md new file mode 100644 index 00000000000..1ab2bd562dc --- /dev/null +++ b/project_management/proposals/2022-02-Athena-Award.md @@ -0,0 +1,119 @@ +# Turing Way – Athena Prize Nomination + +**Submission prepared by** Malvika Sharan (The Turing Way project Co-lead, Senior Researcher - The Alan Turing Institute), Arielle Bennett (Programme Manager - Tools. Practices and Systems, The Alan Turing Institute), Amy Gallimore (EDI Strategy Officer- Tools. Practices and Systems, The Alan Turing Institute), Kirstie Whitaker (Programme Director - Tools. Practices and Systems, The Alan Turing Institute) + +**[https://royalsociety.org/grants-schemes-awards/awards/athena-prize/](https://royalsociety.org/grants-schemes-awards/awards/athena-prize/)** + +**Section 2 – Nomination details – nominator This section is for the nominator to complete Please provide a statement of support outlining the suitability of the team for this prize (500 words maximum). Please be sure to clearly include the name of the programme or initiative and the names of the individuals making up the nominated team** + +My nomination is for _The Turing Way_ project led by Dr. Kirstie Whitaker and Dr. Malvika Sharan, representing a[ core team](https://github.com/alan-turing-institute/the-turing-way/blob/main/ways_of_working.md) of 14 members and a community of more than 300 contributors from around the world. _The Turing Way_ champions diversity by challenging traditionally siloed research cultures from every angle and provides a community driven handbook for conducting research in a way that welcomes and supports a truly diverse group of researchers. _The Turing Way_ has embedded equity, diversity and inclusion (EDI) at the very core of its work and has made significant contributions to the wider STEM field on several levels. + +_The Turing Way_ is much more than a book: it is a 'community of practice' that promotes a culture of collaboration among global contributors with a diverse range of domain expertise. As a community-developed resource, the project belongs to the community and is always a work in progress. Shared under an open licence, everyone can freely read, reuse, distribute, modify, and contribute back to the resources. The project itself is built upon open source infrastructures such as Git, Jupyter Book and Netlify. + +The content of the project focuses on topics that are fundamentally linked to EDI principles. As well as being a guide to reproducible research and scientific communication, the Turing Way focuses on collaboration and ethical research. The Guide for Collaboration provides recommendations for researchers on how to build diverse teams and create inclusive workspaces spanning topics from remote working to running inclusive events and participatory co-creation. The Guide to Research Ethics grapples with the realities of ethical research, shares key principles from Responsible Research and Innovation and Research Integrity, as well as sections on activism and internal policy advocacy. + +Significantly, _The Turing Way_ team hasn’t produced these guides by choosing a select group of people to decide what is “best practice” but has provided a working example of team science, using a wide community to define the standards and expectations the community would like to see in responsible and ethical research practice. This approach has empowered diverse individuals from different backgrounds, identities and lived experiences to express their viewpoints, fairly represent different realities in research and particularly involve voices from communities that are traditionally marginalised in STEM. + +Recent reports have highlighted how much must change in UK research culture for the ambitions we all share in terms of diversity to be realised. _The Turing Way_ is different to other projects focused on diversifying data science in that it has fully embraced the need to change scientific and research culture for the better, in order to support inclusive research for diverse researchers. _The Turing Way_ provides a blueprint for what needs to change, but also evidence of how to co-create meaningful practices through collaboration. + +Ultimately the project has enabled thousands of contributors to share their vision of what a truly global research culture would look like and have presented that knowledge in an entirely accessible and open format. + +**Section 3 – Nomination details – nominated team** + +This section is for a representative of the nominated team to complete + +_3.1) Please provide a summary of your initiative or project (500 words maximum). This should include: • The aims of the initiative or project (what you hoped to achieve at the end) • How you achieved your aim • Your team's role in the activity • Timescales • How you measured success • Any support or funding received_ + +_The Turing Way_ is an open source and community-led project that aims to open up the potential of data science for everyone. Our project brings together a diverse community of researchers, educators, learners, administrators, and stakeholders from within The Alan Turing Institute, across the UK, and internationally. We have collectively written a web-based book with five guides on Reproducible Research, Project Design, Communication, Collaboration and Ethical Research, as well as a Community Handbook. We seek to provide all the information that researchers need at the start of their projects to ensure that they are conducting research that is ethical, inclusive and easy to reproduce at the end. + +The project started in 2018, funded initially by the AI for Science and Government Strategic Priority Fund, and is led by Kirstie Whitaker, Programme Director of the Tools, Practices and Systems Programme (TPS) at The Alan Turing Institute and, Malvika Sharan, TPS Senior Researcher and lead of the Community Management Team at the Turing. + +To foster a welcoming and supportive community, _The Turing Way_ embraced online working from the start. Since the book’s launch in 2019, the team has hosted regular events, including training workshops, remote co-working sessions, speaking engagements, mentored contribution sprints and project-specific consulting. An example of best practice in inclusive remote working is our[ Book Dash](https://the-turing-way.netlify.app/community-handbook/bookdash.html) event, where participants collaborate on _The Turing Way_ book synchronously. Book Dashes moved online in 2020 to ensure that international participants had an equal chance to participate, with sessions planned to enable flexible participation from different time zones. We pay for accessibility requirements for the participants, including access to high-speed internet, childcare grants, live transcription services, and subsistence costs. The event design and support have enabled participants from African, Asian, European, Latin and North American countries to contribute. + +We measure the project’s success through the diversity of contributions to the project and the impact seen on the wider STEM sector. Within a year of starting, the project expanded from a single guide, to the current five, all written in the open on GitHub by our 300+ community members. The 200 subchapters cover topics including open science, data management, research software, communication methods, remote collaboration, ethics, and human rights. Based on web traffic monitoring coupled with personal testimonials, we have thousands of users worldwide in academia, industry, open communities and the public sector. The project has inspired and informed research community practices across the STEM sector, including the Office for National Statistics and The Health Foundation. + +We delivered eleven workshop presentations in 2021, many of which were led by community members directly to peers in their domains of expertise. In 2022, _The Turing Way_ is additionally hosting public, virtual “fireside chats” on topics such as training material translation and alternative academic careers. We are extending our impact, and aligning with our values, by convening experts from across open research communities such as Metadocencia, The Carpentries, Open Life Science, and 2i2c to build solidarity in the actioning of EDI principles across the data science ecosystem. + +_3.2) Please outline how your initiative or project has engendered and supported positive change (500 words **maximum**). Please include any supporting evidence to demonstrate impact (for example, relevant statistics, supporting statements from individuals who have benefitted from the project, press coverage etc.)_ + +Since _The Turing Way_’s launch in 2019, over 300 contributors have co-authored more than 200 subchapters describing data science practices on reproducible research, communication to diverse audiences, remote and distributed collaboration, data-intensive project design and research ethics. The online guides are accessed by thousands of users each month and have been replicated, cited and built on widely. Our impact is reflected in nearly 20,000 cumulative downloads of _The Turing Way_ resources from Zenodo. + +_The Turing Way_ has influenced inclusive practices at national and international research organisations including The Health Foundation, Library Carpentries and the Office for National Statistics. The project is referenced in the international scoping report on Reproducibility of ‘Scientific Results by the European Union’ and ‘An Emerging Technology Charter for London’ by the Mayor of London. In 2021, _The Turing Way_ was nominated for an OpenUK Award in Sustainability and highly commended by the HiddenRef Award for recognising the importance of hidden labour in academia. + +The project has inspired researchers to re-examine their research practices and embed reproducibility and ethical considerations at the centre of what they do. Over time the number of people has grown who advocate for best practices in their communities amplifying a diverse set of voices that represent _The Turing Way_. We provide some highlights and testimonials below: + +“Although the international language of science is English, I know for a fact that not everyone in places like Latin-American have the time and resources to learn it, so I think we must do everything we can to break those barriers and improve the accessibility of knowledge for everyone. This is my motivation to translate the book to Spanish.” + +“Attending the Turing Way Book Dash event was an eye-opener. The infrastructure and the principles were laid out. It was both impressive and compelling. The meeting allowed two things: Build trust in the technology stack and Access to a Community of Users and Practice.” – Authors of FAIR Cookbook + +“We always advocate for software reuse and collaborative development of software. I love that we can do the same for software development guides: reuse content from the eScience guide and collaboratively develop with _The Turing Way_ community!” + +“I had never really considered the importance of the reproducibility of my code. Now I can’t imagine ever not doing it. It’s great to be in an environment that is supporting us as we learn these difficult skills that are not yet part of mainstream academic culture.” + +“Learning more about data science, data management and dissemination and open science has certainly accelerated my thinking and my skills. I've gone on to talk about open science and _The Turing Way,_ used it in supervising undergraduate students and founding the Athens PyLadies chapter. I've truly been inspired.” + +_3.3) Please outline any features of your project that are new or innovative in your field of activity. (500 words maximum)._ + +Reproducible research ensures that all results can be easily accessed, independently verified and built upon in future work. This is easier said than done. Sharing data and code requires a common understanding of open technology, data management, software development, collaboration and ethics: skills that are often not widely or practically taught. _The Turing Way_ project aims to fill this gap in research and data science by integrating considerations of the societal and ethical implications of our work. + +The project is participatory, and has been designed for co-creation from the start. + +_The Turing Way_ is a book, a community, an open science project and a global collaboration. We cultivate an inclusive, kind and inspiring community of international researchers and contributors who collaboratively seek to improve how we conduct research for the benefit of science and society. All this work is conducted in open, challenging the disconnected and isolated nature of the traditional academic research process. + +Traditionally, open science has been siloed from work to improve research culture, including EDI initiatives and research ethics reform. _The Turing Way_ community integrates these efforts to make our project most beneficial and impactful. We deliver this innovation by trusting and empowering individuals and groups with diverse skills, backgrounds, lived experiences and domain knowledge. We are driven by the needs and wishes of our contributors at all times. + +We avoid individual authorship in favour of establishing shared ownership and agency in the project. We understand that if we do not recognise all contributions, we will end up disproportionately ignoring the hidden labour that a lot of people undertake, especially those who have historically been excluded from Open Source and STEM spaces across industry, academia and the public sector. + +We incorporate universal design principles in all our resources, considering online accessibility, language and disability requirements. Our style guide was developed in 2020 to ensure consistency and high quality communication across all guides. We provide asynchronous support via GitHub, Slack, and online documentation, as well as synchronous support via mentoring for contributors and coworking calls for collaborators. + +_The Turing Way_ Book Dash events provide a participatory platform for respectful co-creation and celebration of community-led work. We have experimented with community shared lunches where we share a meal together over Zoom, and “show and tell” social events to learn more about each other’s cultures and personal interests. We ensure contributors can participate by hosting sessions across multiple time zones, providing a budget for the final day’s public celebration event, and offering support grants to cover accessibility related expenses. + +At the start of the COVID19 pandemic _The Turing Way_ guide supported the transition of hundreds of community members from in-person to virtual working models. We had already been working on the content before the world needed to make these unprecedented changes. The book has dedicated chapters that teach the relevance of EDI principles and the ethical implications of data science in the real world. We are proud that our community promotes these inclusive practices within their research projects and beyond. + +_3 3.4) Please outline how your initiative or project will be sustained (500 words maximum). Your answer may include details of how the changes engendered by your initiative or project will be/are being embedded and maintained in your organisation or the wider STEM community in the short- and long-term._ + +_The Turing Way_ is a flagship project at The Alan Turing Institute, The UK’s National Institute for Data Science and Artificial Intelligence. We work across the Skills, Academic Engagement, and Research Engineering teams, and as part of the[ Tools, Practices and Systems](https://www.turing.ac.uk/research/research-programmes/tools-practices-and-systems/tps-new-leadership-team) (TPS) Programme, to ensure that best practices in data science and research are embedded across all projects at the Institute. The TPS Programme represents a cross-cutting set of initiatives which seek to build open source infrastructure that is accessible to all, and to empower a global, decentralised network of people who connect data with domain experts. + +In 2021, the Institute made a long-term investment in expanding the TPS Programme to 11 full-time members, including Community Managers, and Research Application Managers. Community Managers build, customise and promote a collaborative framework to ensure that everyone who wants to can participate in research. Research Application Managers bring the perspective of potential users of the research outputs from the early stages of research, supporting the reuse of outputs. As a collective team, TPS members contribute toward building interconnected systems of open-source software, datasets, communities and processes. They also provide cross-programme training in reproducible research to groups such as early career researchers. + +TPS Community Managers and Research Application Managers are core members of[ The Turing Way](https://github.com/alan-turing-institute/the-turing-way/)_ _team._ _They are responsible for the active adoption of open, reproducible, collaborative and inclusive approaches_ _in the projects they are assigned to at the Institute. They also mentor and support researchers to contribute back to _The Turing Way_ in a bi-directional model of peer knowledge exchange. Long term plans include extending this model beyond the Turing, to upskill and empower data science researchers across global institutions to act as best practice reproducibility and reuse champions and via collaboration with international organisations. _ _ + +_The Turing Way_ is designed as a socio-technical infrastructure for community-based development, maintenance and long-term sustainability. All the project outputs belong to _The Turing Way_ community, and everyone can freely read, reuse, distribute, modify, and contribute back to the resources in the book. We foster a culture of collaboration by creating equitable opportunities for community participation and enabling an inclusive workspace by providing a clear code of practice and contributing guidelines. To ensure that community members can take part irrespective of their previous experience, we provide the resources, guidance, templates and training to help them stay involved in the community. Current members provide mentorship for new members and drive the adoption of practices in their organisation. The community handbook provides documentation and technical details about the project allowing anyone to reuse its resources to build similar projects from scratch. The shared responsibilities of the project at the Turing as well as the international volunteer community has allowed _The Turing Way_ to ensure sustainability of its resources in the long term. An additional community manager will support the project co-leads and focus on the co-development of a governance model for _The Turing Way_ to transition the project to the next level of maturity. + +_3.5) Please outline any plans to replicate or extend your initiative or project, or evidence of successful replication or extension (500 words maximum). Your answer may include details and evidence of how your project or initiative has been shared, adopted or adapted by others in your organisation or the wider STEM community, or details of any plans to do this in the future._ + +The Turing Way is not only directed towards researchers at The Alan Turing Institute but is more broadly used by people working in data science as part of national and international research communities. Hence, it is important to consider what practices from our projects are transferable and should be shared in _The Turing Way_ to benefit other researchers. TPS members collaborate closely with researchers and identify where they can surface implicit knowledge and make information explicitly available via The Turing Way, to transfer practices across the globe and benefit other researchers. Their work at the system level ensures that the research that happens at the Institute is created so it can be maintained, sustained, remixed and adopted in the real world. + +The Turing Way community members regularly promote the benefits of reproducible, collaborative and inclusive research at conferences, external communities, workshops and policy advocacy work. Last year, The Turing Way was featured in keynote talks at Open Science FAIR, Jornadas Argentina de Informática Virtuales – 50 JAIIO and Society of Open, Reliable, and Transparent Ecology and Evolutionary Biology. + +In total, The Turing Way members delivered 39 international conference talks and 11 training workshops in 2021. Both long-term contributors and project co-leads take active roles in representing the project. One of the most important community-led extensions within The Turing Way is the translation of its resources into multiple languages, expanding the reach of data science practices more globally. Currently, the project is being translated into Spanish, French, Chinese and Arabic. These members involved in the initiative have also collaborated to create an accessible platform for other researchers to contribute and replicate their work in other languages. + +As well as developing its thriving and diverse community, The Turing Way has engaged in collaborations and advocacy work to encourage reproducible research and collaborative and inclusive research cultures. As a result of these engagements, we have influenced multiple research communities and Data Science projects, and have been cited by more than 20 peer-reviewed articles and nearly 100 online publications. We have inspired the following knowledge sharing projects that replicate The Turing Way’s practices and formats for online repository and community-led initiatives: + +* [Quality Assurance of Code for Analysis and Research](https://best-practice-and-impact.github.io/qa-of-code-guidance/intro.html), Office for National Statistics +* [Turing Data Stories](https://alan-turing-institute.github.io/TuringDataStories-fastpages/), Turing Research Software Engineering team +* [FAIR Cookbook](https://faircookbook.elixir-europe.org/content/home.html) by researchers at University of Oxford, University of Oxford, Novartis and FAIRplus Consortium Members +* [The Environmental Data Science book](https://the-environmental-ds-book.netlify.app/welcome.html) AI for Science and Government Research Programme +* [The Good Research Code Handbook](https://goodresearch.dev/), Patrick J Mineault +* UCL Institute of Health Informatics Coding Club Handbook, University College London +* [A Citizen Science Guide for Research Libraries](https://libereurope.eu/working-group/liber-citizen-science-working-group/citizen-science-guide/), LIBER Citizen Science Working Group + +The Turing Way has collaborated with[ Binder](https://mybinder.readthedocs.io/) to host Turing Federation BinderHub, to support their service of providing a research platform for executable code and data analysis. The 2i2c ([https://2i2c.org/](https://2i2c.org/)) organisation has received an Essential Open Source Software for Science grant to collaborate with The Turing Way and build a community strategy to onboard and mentor members from historically underrepresented groups in the JupyterHub community. + +**Relevant Links:** + +* Online Book (website):[ https://the-turing-way.netlify.app/welcome](https://the-turing-way.netlify.app/welcome) +* Project repository:[ https://github.com/alan-turing-institute/the-turing-way](https://github.com/alan-turing-institute/the-turing-way) +* Twitter handle:[ https://twitter.com/turingway](https://twitter.com/turingway) +* Quarterly reports: [https://github.com/alan-turing-institute/the-turing-way/tree/tps-report-2020/project_management/quarterly_reports](https://github.com/alan-turing-institute/the-turing-way/tree/tps-report-2020/project_management/quarterly_reports) +* Impact story:[ https://www.turing.ac.uk/research/impact-stories/changing-culture-data-science](https://www.turing.ac.uk/research/impact-stories/changing-culture-data-science) +* Other resources on Zenodo under CC-BY license:[ https://zenodo.org/communities/the-turing-way](https://zenodo.org/communities/the-turing-way) +* YouTube channels with project resources and updates:[ https://www.youtube.com/channel/UCPDxZv5BMzAw0mPobCbMNuA](https://www.youtube.com/channel/UCPDxZv5BMzAw0mPobCbMNuA) + +Section 5 – Nominated Referee 1 This section is for the nominator to complete + +- Dr. Rachael Ainsworth, Community Manager, Software Sustainability Institute, UK + +Section 6 – Nominated Referee 2 This section is for the nominator to complete + +- Dr. Chris Holdgraf, Director of 2i2c: The International Interactive Computing Collaboration, Project lead for JupyterHub distributions From 520dde28b4206d75eaad8b5001529e000b244109 Mon Sep 17 00:00:00 2001 From: Malvika Sharan Date: Sun, 7 Apr 2024 12:47:07 +0100 Subject: [PATCH 06/22] Create 2022-04-Einstein-Award-Submission.md --- .../2022-04-Einstein-Award-Submission.md | 41 +++++++++++++++++++ 1 file changed, 41 insertions(+) create mode 100644 project_management/proposals/2022-04-Einstein-Award-Submission.md diff --git a/project_management/proposals/2022-04-Einstein-Award-Submission.md b/project_management/proposals/2022-04-Einstein-Award-Submission.md new file mode 100644 index 00000000000..7adb0130656 --- /dev/null +++ b/project_management/proposals/2022-04-Einstein-Award-Submission.md @@ -0,0 +1,41 @@ +# Einstein Award Submission - Later used as The Turing Way Project & Leadership Summary 2022 + +_Written by Malvika Sharan (The Turing Way project Co-lead, Senior Researcher - Open Research), Review by Shane Conneely (Partnership Development Lead)_ + +_The Turing Way ([https://the-turing-way.netlify.app/welcome](https://the-turing-way.netlify.app/welcome))_ is an open source, open collaboration and community-driven handbook on reproducibility in data science and research, led by Dr Kirstie Whitaker and Dr Malvika Sharan. The Turing Way Research Community Manager, Anne Lee Steele manages the community engagement and communications, and supports community-led efforts. The project’s governance is represented by a[ core team](https://github.com/alan-turing-institute/the-turing-way/blob/main/ways_of_working.md) of 20+ members (that includes the staff and volunteer leaders), more than 400 project contributors and thousands of project users from around the world. They involve and support a diverse community of contributors and collaborators from different organisations across academia, industry and government dedicated to sharing and facilitating research best practices, tools and infrastructure. + +**Background** + +Reproducibility is necessary to ensure the highest quality of research outcomes. Different stakeholders in research, including funders and publishers, are beginning to require that publications include access to the underlying methods, data and the analysis workflow. The goal is to ensure that all results can be easily accessed, openly examined and built upon by others in future work. Researchers should also integrate considerations of the societal and ethical implications of their work, facilitate collaboration, and maintain a transparent reporting process. This is easier said than done; conducting fully reproducible research requires a common understanding of open technology, project management, collaborative development, ethics and data skills that are often not widely or practically taught. _The Turing Way_ project fills this gap by promoting quality in research by sharing practices that make data-driven research accessible, comprehensible and beneficial for everyone. In 2018, The Alan Turing Institute – the UK’s National Institute for Data Science and Artificial Intelligence (AI) – was awarded funding to undertake and apply data science and AI research that can transform four key areas of science, industry and government. _The Turing Way_ guide was founded by Dr. Whitaker originally as a guide for reproducibility, one of the core requirements for translating research into cross-disciplinary innovation. Since its launch in 2019 as a collaboratively written online guide to reproducible data science, _The Turing Way_ has blossomed into a comprehensive handbook with a series of guides on project design, communication, collaboration and ethical research, as well as a community handbook. Shared under the open licences (MIT and CC-BY 4.0), everyone can freely read, reuse, distribute, modify, and contribute back to the resources. All contributions to the book are facilitated via the GitHub repository[ (https://github.com/alan-turing-institute/the-turing-way](https://github.com/alan-turing-institute/the-turing-way)). + +Dr. Whitaker now is the director of Tools, Practices and Systems (TPS) Research Programme which represents a cross-cutting set of initiatives which seek to build open source infrastructure that is accessible to all and to empower a global, decentralised network of people who connect data with domain experts. Dr. Sharan, who started as the community manager of _The Turing Way_ in 2019, now leads a team of Community Managers in TPS who contribute toward building interconnected systems of open-source software, datasets, communities and processes. Under their leadership, _The Turing Way_ is a flagship project at The Alan Turing Institute. Their team members join The Turing Way core teams and help ensure that best practices are embedded across all projects at the Institute and the broader data science ecosystem. All TPS members drive the adoption of open, reproducible, ethical and inclusive approaches in research projects by collaborating with different groups working across training, academic engagement, public policy, research engineering, EDI (Equality Diversity & Inclusion) and health research in the UK. They also mentor and support researchers to contribute back to _The Turing Way_ in a bi-directional model of peer knowledge exchange. Long-term investments are being made by the institute to establish a **Practitioners Hub** ([read the proposal for details](https://zenodo.org/record/7427274)). This effort will extend the impact of _The Turing Way_ by creating opportunities for data practitioners and their organisations to enhance awareness of best practices and promote quality in research through cross-sector collaboration. + +The Turing Way project is a working example of team science, using a wide community to define the standards and expectations the community would like to see in responsible, ethical and quality research practice. The Turing Way guides seek to provide all the information that researchers need at the start of their projects to ensure that they are conducting research that is easy to reuse and reproduce at the end. _The Turing Way_ team hasn’t produced these guides by choosing a select group of people to decide what is “best practice”. Their success lies in the diversity of contributors, the contributions they make to the project and the impact seen on the wider STEM sector. Managed by a core team of 18 members from The Alan Turing Institute and more widely from the international volunteer community, _The Turing Way_ now boasts over 325 contributors, who have collectively written over 260 pages across 54 chapters to date. All collaborations and development processes occur in the open, challenging the disconnected and isolated nature of the traditional academic research process. Contributors include researchers, open science practitioners, educators, policymakers and data experts across academia, government and industry, in various domains, at all levels of seniority, representing countries including Australia, Argentina, Brazil, Germany, India, the Netherlands, Saudi Arabia, South Africa, Uganda, UK, USA, Venezuela and beyond. Based on web traffic monitoring coupled with references in more than 3500 monthly visitors, 100+ online publications, 30+ citations in peer-reviewed articles and personal testimonials, The Turing Way has thousands of users worldwide in academia, industry, open communities and the public sector. + +_The Turing Way_ is increasingly being recognised for influencing practices at national and international research organisations including government, funders, policy and healthcare sectors. _The Turing Way_ was referenced in the Mayor of London’s[ Emerging Technology Charter](https://www.london.gov.uk/publications/emerging-technology-charter-london), Reproducibility of scientific results in the EU, Innovation Scholars funding call by UKRI, The Health Foundation, The Carpentries, Open Life Science and the Netherlands eScience Center. The handbook and community model have been inspiring several similar resources, including the[ Quality Assurance of Code for Analysis and Research](https://faircookbook.elixir-europe.org/content/home.html) by the Office for National Statistics, _[FAIR Cookbook](https://faircookbook.elixir-europe.org/content/home.html)_ for the life sciences, a[ guide to running citizen science projects](https://libereurope.eu/working-group/liber-citizen-science-working-group/citizen-science-guide/) for research libraries, _[The Environmental Data Science Book](https://the-environmental-ds-book.netlify.app/welcome.html)_ and other international initiatives. More recently, The Turing Way was recommended in the Goldacre Review commissioned by the Secretary of State for Health and Care in the UK for using health data for research and analysis. The Turing Way was highlighted in the context of addressing a range of specific challenges around open working, the limits of open code, and the strong positive relationship between open working methods and innovative commercial activity within the healthcare sector. An impact report from the institute highlights The Turing Way in advancing collaborative approaches for the [people-centred approaches driving forward data ethics](https://www.turing.ac.uk/research/impact-stories/better-together-people-centred-approaches-driving-forward-data-ethics). + +The Turing Way team employs a decentralised governance process that avoids individual authorship in favour of establishing shared ownership and agency in the project. They ensure that all contributions are fairly acknowledged, especially when their roles involve hidden labour in research that is often undertaken by members from marginalised communities in research and tech spaces. The Turing Way book is attributed to The Turing Way community with each contributor listed as the author. Most of them have been personally mentored by the core team members and all community members are given training and leadership opportunities within the project. All of their works are conducted in an inclusive and participatory manner that sets apart _The Turing Way_ as a positive force for changing research culture. Their community engagement approach has empowered diverse individuals from different backgrounds, identities and lived experiences to express their viewpoints, fairly represent different realities in research and particularly involve voices from communities that have been in the past systematically excluded from STEM. All of this is helping to put _The Turing Way_ in front of as many students, researchers, project leaders and educators as possible. The global reach is reflected in nearly 3000 monthly users of the book worldwide and 20,000 cumulative downloads of _The Turing Way_ resources from Zenodo. The Turing Way received an OpenUK Award for Belonging and was highly commended by the HiddenRef Award for recognising the importance of hidden labour in academia. + +_The Turing Way_ team hosts a smorgasbord of virtual events for contributors to share ideas: weekly co-working calls for working groups led by members of the core team, fortnightly collaboration cafés, and twice-yearly, multi-day ‘Book Dash’ events. These are participatory platforms for respectful co-creation and celebration of community-led work and ensure that international participants have an equal chance to participate flexibly from different time zones. The Book Dash participants are offered accessibility grants, including access to high-speed internet, childcare grants, live transcription services, and subsistence costs. The event design and support have enabled participants from African, Asian, European, Latin and North American countries to contribute. The Turing Way incorporates universal design principles in all their resources, considering online accessibility, language and disability requirements. In 2021 alone, members of the core team delivered 11 training workshops and 39 conference talks, and the handbook is being translated by volunteer leaders into Spanish, Arabic, Portuguese and Chinese, with several more localisation interests in the pipeline. + +New for 2021-2022 was monthly ‘Fireside Chats’: informal webinars organised on topics including research infrastructure, multilingual data science and community collaboration. Attended by over 600 participants in 2022 alone, these conversations allow The Turing Way in extending its impact and aligning the wider research community with its values. By convening experts as well as engaging with open science initiatives such as The Carpentries, Open Life Science, NASA - TOPS, Code for Science and Society, Society of RSE, Jupyter, 2i2c, MetaDocencia and other communities internationally, The Turing Way project team is impacting a collective action towards improving knowledge in research reproducibility that promotes quality in research. + + +## **Relevant Links:** + + + +* Online Book (website):[ https://the-turing-way.netlify.app/welcome](https://the-turing-way.netlify.app/welcome) +* Project repository:[ https://github.com/alan-turing-institute/the-turing-way](https://github.com/alan-turing-institute/the-turing-way) +* Impact stories:[ ](https://www.turing.ac.uk/research/impact-stories/changing-culture-data-science) + * [Changing the culture of data science](https://www.turing.ac.uk/research/impact-stories/changing-culture-data-science) + * [Better Together: The people-centred approaches driving forward data ethics](https://www.turing.ac.uk/research/impact-stories/better-together-people-centred-approaches-driving-forward-data-ethics) +* Overview of The Turing Way resources and communication channels: [http://bit.ly/turingway](http://bit.ly/TuringWay) +* Other resources: + * Quarterly reports:[ https://github.com/alan-turing-institute/the-turing-way/tree/tps-report-2020/project_management/quarterly_reports](https://github.com/alan-turing-institute/the-turing-way/tree/tps-report-2020/project_management/quarterly_reports) + * Zenodo under CC-BY license:[ https://zenodo.org/communities/the-turing-way](https://zenodo.org/communities/the-turing-way) + * YouTube channels with project resources and updates:[ https://www.youtube.com/channel/UCPDxZv5BMzAw0mPobCbMNuA](https://www.youtube.com/channel/UCPDxZv5BMzAw0mPobCbMNuA) + + + + From 3fdb43f299f7dca6b63e165391d9068ac50b7998 Mon Sep 17 00:00:00 2001 From: Malvika Sharan Date: Sun, 7 Apr 2024 12:50:39 +0100 Subject: [PATCH 07/22] Create 2022-06-ecosystem-leadership-submission.md --- ...2022-06-ecosystem-leadership-submission.md | 329 ++++++++++++++++++ 1 file changed, 329 insertions(+) create mode 100644 project_management/proposals/2022-06-ecosystem-leadership-submission.md diff --git a/project_management/proposals/2022-06-ecosystem-leadership-submission.md b/project_management/proposals/2022-06-ecosystem-leadership-submission.md new file mode 100644 index 00000000000..6dd36feac15 --- /dev/null +++ b/project_management/proposals/2022-06-ecosystem-leadership-submission.md @@ -0,0 +1,329 @@ +# The Turing Way Funded Proposal for The Turing Way Practitioner Hub (2022) + +**This document is being shared under CC-BY 4.0 SA as this is a funded proposal submitted by The Turing Way team members. Please attribute or reuse appropriately.** + +## Section 1 - Aims + +**1.1 Activity title** + +_Extending the adoption of reproducible, ethical and collaborative practices in data science and AI_ + +**1.2 Applicants** + +Malvika Sharan, Arielle Bennett + +**1.3 Programme Director** + +Kirstie Whitaker + +**1.4 Lead research programme or business team directorate** + +Tools, Practices & Systems + +**1.5 Other research programmes, business team directorates, universities, and/or other partners involved in delivery _(100 words max)_** + +The Turing’ Partnerships and Skills directorates, and Impact Lead will play a significant role throughout delivery of proposed activities. During the scoping period, Partnerships will support TPS’ engagement with existing collaborators such as Genomics England, ONS and the Energy Systems Catapult, and establish new partnerships. Building on TPS’ already strong links with Public Policy and Skills teams, we will ensure alignment with initiatives like the DS & AI Educators programme, AI Standards Hub and Turing Commons. + +Content, activities and timeline will be aligned with the Turing-wide BridgeAI bid to Innovate UK to scale the adoption of best practices across underserved sectors. + +**1.6 Activity start date** + +1/10/2022 + +**1.7 Activity end date** + +31/12/2024 + +**1.8 Would you be happy for this application to be considered for funding from alternative sources?** + +Yes + +## Section 2 - Aims + +**2.1 Summary and goals of the activity _(500 words max)_** + +Please summarise the proposed activity and outline the goals (which should be Specific; Measurable; Achievable; Relevant; and Time-bound). Describe the problem the activity is trying to address, why it is a problem and who is impacted by the problem. + +_“Expanding the capacity of [the TPS project] The Turing Way (TTW) to drive implementation of data science practices at UK institutions and industries through ‘TTW Practitioners hub’.”_ + +TTW is a series of guides on reproducibility, project-design, communication, collaboration, and ethical research, championing data-driven practices that enable reproducible, accessible and inclusive AI and data science. TTW is also a global community of volunteers who create, maintain and apply its resources in different contexts. As an open-source project, everyone can freely read, share, modify, and contribute back to the resources, accelerating their potential for innovation and impact. TTW has informed high-profile reports and policies and serves as a core influence on global initiatives led by organisations like NASA, ONS and Genomics England – Genomics Diverse Data Initiative (GDDI). + +TTW is internationally recognised for influencing data science culture across government, funders, policy, and healthcare sectors. However, the project lacks capacity to capitalise on this influence crucial for strengthening Turing’s connections with these organisations. + +This proposal sets out an ambitious plan for TTW to enhance impact and expertise in embedding best practices into organisations across the broader data science and AI ecosystem. Through BridgeAI collaboration, we also seek to adapt and extend the impact of TTW materials to sectors with lower data science and AI uptake. All our activities will be delivered in close alignment with Partnership, Skills and Public Policy teams. + +The aim is to build a bi-directional channel between TTW and organisations that benefit from and contribute to the project. Through collaborations with national and international stakeholders TTW Practitioners Hub will promote quality and ethical integrity; accelerate the adoption of TTW approaches throughout the Turing and beyond; upskill and empower data science practitioners as best practice champions. + +In addition, TTW and TPS will work with Partnerships and Skills to develop and begin delivery. This proposal will align its scope with BridgeAI, a proposal to Innovate UK that focuses on sectors where data science and AI skills are underdeveloped and utilised. + +A TPS PDRA will be hired to conduct research, lead the engagement and coordinate the TTW Practitioners Hub effectively. + +**We propose a three-phase project:** + +Phase 1: Scoping (October-2022 – March-2023) + +* Develop TTW Practitioners Hub through partnership with external organisations already applying TTW -- Energy Systems Catapult, Genomics England - GDDI, GCHQ, The Crick Institute +* Conduct research and reporting on evidence from TPS, the Turing and partnering organisations supporting the projects’ goals +* Establish resources and engagement pathways for sectors with lower uptake of data science/AI through broader scoping within BridgeAI +* Develop impact strategy with Institute’s Impact Lead. + +Phase 2: Pilot (April-2023 – September-2023) + +* Pilot “expert in residence” programme trialled over 6 months with experts drawn from partnering organisations +* Apply iterative learnings to support and advance BridgeAI plans + +Phase 3: Scaling & Sustainability (June-2023 – onwards, subject to external funding) + +* Extend the project’s activities to more organisations currently collaborating with TTW, involving international partners +* Foster a cohort-based community to enable cross-sector collaboration, including in BridgeAI contexts +* Expand TTW materials to consolidate BridgeAI proposal +* Attract external investment towards the sustainability of TTW Practitioners Hub. + +**2.2 Progress towards the Turing 2.0 vision _(250 words max) _** + +Please provide information on how the activity drives the Institute towards the Turing 2.0 vision (information here). Be as explicit as possible about the difference from Turing 1.0. + +TTW Practitioners Hub will convene a wider audience in interdisciplinary discussions around best practices. Encompassing all themes of Turing 2.0, this proposal will deliver across the strands of Science and Innovation; Skills and People; and Ecosystem and Engagement. + +The Practitioners' Hub will support the direct engagement of diverse and influential organisations in TTW and Turing more broadly. Systematic efforts will be made to build a shared understanding of open, reproducible, collaborative and ethical research with a goal to enhance quality, rigour and integrity across data science and AI initiatives. + +Considerations for building high quality, democratised and evidence-based research will help build public trust in data science and AI approaches. Furthermore, open-source projects and research infrastructures supported through the hub will contribute to the development of public goods for broader applications. + +The “experts in residence” cohort approach will allow exchange of professional expertise and inspire collaborative development of interoperable and reusable resources. Stakeholders will represent diverse interests from a range of sectors. They will be supported in professionalising diverse non-traditional expert roles and career pathways, as already demonstrated by TPS community and research application management teams. The Practitioners Hub will advance TTW’s ethos for research ethics, equality, diversity and inclusion in the ways we implement data science and AI globally. + +In the long term, the Hub will attract cross-sector engagement and investment towards capacity building and innovation in areas that have so far not been explored very well within the data science and AI ecosystem both in the UK and internationally. + +**2.3 Alignment with activity funded from elsewhere / in-kind benefits _(250 words max)_** + +Please provide information on how the activity is aligned with activity funded from elsewhere and/or from in-kind benefits, such as university partner in-kind contributions, and explicitly state what activity will be additionally funded from this proposal. + +The TPS programme will deliver The Practitioner Hub scoping and pilot phases using Ecosystem Leadership bid funding, with a view to securing more ambitious funding to scale this work through either Innovate UK’s BridgeAI call, or international funders such as CZI and NASA, in late 2022/2023. The initial investment from the Ecosystem Leadership funding is critical to ensure such proposals are institutionally-supported and able to ramp up effectively according to ambitious timelines set by the funders. + +This proposal builds on previous investments through the ASG and Turing 2.0 programmes. Project co-lead Malvika Sharan is 100% funded by ASG until 31 March 2023, and Anne Steele, Community Manager, is underwritten by core funding until March 2024. + +TTW already leverages over 350 volunteer contributors, who have collectively written over 260 pages across 55+ chapters to date, making the project exceptional value for money. Contributors include researchers, practitioners, educators, policymakers and data experts across academia, government and industry, in various domains, at all levels of seniority, representing countries across the Global South and North. + +Internally, TTW will expand on established connections with projects such as The Turing Commons and initiatives delivered with the Skills Team (Data Science & AI Educators training, Online Learning Platform). Where possible, TTW will link to similar work across the Turing to amplify and extend its reach and impact. Materials and resources are produced under an open licence allowing free reuse and adaptation for future initiatives, speeding up the planning and delivery process. + +## Section 3 - Options and impacts + +**3.1 Options evaluation _(250 words max) _** + +Please evaluate the preferred activities against other options to achieve the activity’s outcome, considering the following: What would be the consequences of not doing this activity this financial year? What other organisations could also deliver this activity? i.e. demonstrate the additionality of the activity to the landscape. + +TTW has undergone a massive expansion since 2019, growing from a single book to five guides and a community of 350+ contributors. However, with just one full-time staff, the TTW team is under-resourced to deliver strategic goals and exploit emerging opportunities as a result of the project’s exponential growth and recognition. Without the additional capacity, Turing and TTW will remain insufficiently credited for their influence on a growing range of open research initiatives across data science and AI, many of which build on TTW resources, like the Digital Catapult Machine Learning Garage. + +To ensure the projects' sustainability and take advantage of the growing TTW network, it is crucial to invest in the development of TTW Practitioners Hub. Although the project will continue through 2023 with current funding, it will still require additional funds to support TTW activities, partnership needs and additional staff capacity to seek external funding. There is already limited scope for engaging with new sectors or follow-up on desired partnerships that require additional resources and staff time to ramp up delivery. Hence, if the proposed project is not funded soon, TTW will not be able to leverage the grassroots community movement and reputation of TTW to firmly establish itself as a leader in data science practices. + + + +TPS is uniquely placed to deliver on the goals of TTW Practitioners Hub under Turing 2.0. External initiatives such as UK Reproducibility Network may have overlapping goals, but TTW offers deeper expertise and collaboration afforded by TTW community and project team. + + + +**3.2 Expected impact and benefits _(250 words max) _** + +Please explain what the impact and benefits of the activity would be. If this is an existing activity which is being extended, please also outline the benefits realised so far. + +To date, TTW materials have formed the basis for high-impact training materials produced by national and international organisations [names redacted]. + +It has directly influenced data science practices at national organisations such as ONS, British Antarctic Survey, Health Foundation and Genomics England - GDDI. The project model has also been successfully replicated by the Environmental Data Science Book, Turing Commons, University of Oxford’s FAIR Cookbook, among others. The project is also referenced by reports and peer-reviewed articles, including in the 2022 Goldacre Report. + +Proposed impact and benefits of the proposal include: + + + +* Improving dissemination and adoption of TTW resources and best practice across the UK data science ecosystem +* Scaling efforts to support innovative best practices in historically under engaged communities and sectors in data science +* Diversifying partnerships with key organisations such as Genomics England, - GDDI ONS, Digital Catapults, and eventually international organisations such as NASA, TU Delft, VU Amsterdam, eScience Center Netherlands, 2i2c,The Carpentries, Open Life Science and MetaDocencia. +* Strengthening TTW’s position as a central hub for connection across domains to bring together best practice in data science and AI. +* Building reputation of Turing for setting national and international standards on reproducible, ethical, open and collaborative data science. + +The Turing Impact Lead will support the planning of a robust and integrated evaluation approach in line with Turing 2.0’s impact strategy. The work carried out during the pilot stage will inform the development providing thought-leadership in planning and delivery around strategic engagements. + +**3.3 Key Performance Indicators _(100 words max) _** + +Please list any KPIs that will be used to measure the impact and benefits outlined above + +Scoping phase: + + + +* Number of organisations that complete an expression of interest in participation in TTW Practitioners Hub +* Successful delivery of BridgeAI priming event and proposal +* Book Dash hubs outside of London hosted/attended by hub stakeholders +* Engagement drawn from the Turing and partner organisations in research and reporting + +Pilot phase: + + + +* Quality and number of unique contributors within organisations that participate in the programme vs those without a formal engagement +* Areas of the guides which have been contributed de novo by organisations engaging with the programme +* Comparative analysis of baseline narratives and surveys vs end-of-programme evaluation + +**3.4 Embedding Equality, Diversity and Inclusion _(250 words max) _** + +Please consider and explain the steps that will be taken to make this activity inclusive and accessible and the strategies that will be used to encourage diversity of participants. If your activity will involve re-allocating funding or resources, please explain the process for this and how fairness and transparency will be achieved. + +TTW Practitioners Hub will be designed as a socio-technical infrastructure for community-based development, maintenance and long-term sustainability of TTW. All the project outputs will be shared under a CC-BY 4.0 Licence so that everyone can freely read, reuse, distribute, modify, and contribute back. We foster a culture of collaboration by creating equitable opportunities for community participation and enabling an inclusive collaboration by providing a clear code of practice and contributing guidelines. + +TTW guides directly address EDI in data science and AI. All resources embed universal design principles, considering online accessibility, language, and disability requirements. Our resources provide recommendations for researchers on how to build diverse teams and create inclusive workspaces spanning topics from remote working to running inclusive events and participatory co-creation. The guide for Ethical Research grapples with the realities of ethics in AI, and shares principles from Responsible Research and Innovation and Research Integrity. TTW team has provided a working example of team science, involving a wider community to define the practices, standards and expectations for responsible and ethical data science. This approach has empowered diverse individuals from different backgrounds, identities and lived experiences to express their viewpoints, represent different realities and involve voices from communities marginalised in data science and AI. TTW was highly commended by HiddenRef and received positive feedback from the Royal Society Athena Prize for its commitment to EDI. + +TTW Practitioners Hub will build on the existing practices to directly work with the partnering organisations, specifically drawn from a range of domain expertise. + +**3.5 Will you be monitoring the diversity of who engages with your activity? _(250 words max)_** + +Please detail your reasoning and if relevant, how monitoring will be carried out. + +Although the potential partnering organisations have already been identified within the UK for the initial pilot, TTW will continue to employ diversity monitoring as standard practice for ongoing project activities such as Book Dashes. As described in section 3.4, we will ensure that TTW values and ethos are applied to all the processes of community engagement and building, as well as the nomination of representatives from collaborating organisations. + +After piloting the programme, we hope to expand the hub to involve international partners. As a globally distributed community, TTW team will aim to draw collaborating organisations from both the global South and North with diverse participants as ‘experts in residence’. A diversity enhancing and monitoring framework will be developed during the planning and scoping phase, which will massively build on TTW’s community engagement work. This framework and the associated process will be reviewed in May 2023 by involving diverse members from TTW community. + + +## Section 4 - Costings + +Please upload costings using the appropriate template (available here). + +**Operational Budget** + +* 1 FTE TPS RPM time from 1/10/2022 to 31/12/2026 to support delivery, +* 0.2 FTE project co-lead Malvika Sharan from 31/03/2023 – 31/12/2026 (funded 100% by ASG to March 2023) +* 0.05 FTE project co-lead Kirstie Whitaker from 31/03/2023-31/08/2024 (need to check KW allocation) +* 24-month fixed term contract for PDRA / (researcher and strategic hub coordinator) to document Turing Way & TPS Practices – to start 1/1/2023 +* 24-month contract for Turing Way CM to continue project delivery (1/09/2022-31/08/2024) - in post & currently underwritten by core +* 5-month contract for a technical writer to begin building TPS and TTW documentation required for the development of TTW strategic hub (1/10/2022-31/03/20220) +* Book Dash costs from 01/09/2022-31/08/2024 (four events, held in a hybrid format at £10k each) +* Travel and conference costs from 1/09/2022-31/08/2024 (£2000 to March 2023, £2000 to March 2024, £1000 to August 2024) + +## Section 5 - Operational considerations + +**5.1 Delivery _(250 words max) _** + +State the delivery model for the activity. Will it be owned by the Institute or led by a partner organisation? + +The project will be owned by the Institute, with partner organisations engaged via TTW Practitioners Hub. Work conducted during scoping, and resources underwritten by core following the conclusion of + +**Scoping phase to 31 March 2023:** + +* Impact assessment framework will be developed in collaboration with the Turing Impact Lead +* A technical writer will be contracted to document outcomes, impact stories and documentation to help build stronger evidence for TTW and the Turing’s position to lead TTW Practitioners Hub +* Project leads will design the engagement strategy in collaboration with all relevant Turing teams and strategic organisations mentioned previously in the proposal +* BridgeAI proposal co-developed and priming event delivered by Turing in +* ‘Expert in residence’ scheme will be developed by consulting organisations (Software Sustainability Institute, Open Life Science) that have similar schemes +* Recruitment and onboarding of a postdoctoral researcher +* Delivery of one Book Dash event as an early engagement opportunity + +**Pilot delivery phase 1 April – 1 October 2023** + +* A cohort of ‘experts in residence’ will be established for the Practitioners' Hub +* Engagement strategy will begin delivery, including embedding experts in TTW network, facilitating events for engagement, training and collaboration +* Curation of resources by each expert from TTW for their organisations will be supported and highlighted in the projects +* Collaboration with Turing Commons will be strengthened to build organisation or sector specific case studies which will be highlighted in multiple channels + +Details for longer-term delivery are provided in section 6. + +**5.2 Resourcing and recruitment _(250 words max)_** + +If recruitment (employees) is required, please outline: any existing resources that will be redeployed, any additional resources that will be required – extending employment contracts or new hires (give job titles). If external contracts will be required, please outline: if an existing contract can be amended/extended to meet the need, any additional contracts that will be required, what contractual mechanism, etc., how the contracting partner was or will be selected + +If the activity will need additional support from other teams at the Institute (Comms, Events, Finance, Programme Management, Partnerships, Research Engineering, etc.), please give brief details here. Note that any significant involvement will need to have been reviewed and signed off by the relevant director on the funding application approvals form. + +Existing resources that will be deployed: + +* Turing Way Community Manager – in post, contract will be extended to 31 December 2024 +* Malvika Sharan, TTW co-lead & TPS Senior Researcher – in post +* Shane Conneely, TPS Partnerships Lead +* Arielle Bennett, TPS Programme Manager +* TPS RPM (currently recruiting) will support initial project set up. A dedicated RPM will be needed to support scaling of the Practitioners Hub and delivery of BridgeAI. + +**New resources:** + +* New post for a TPS postdoctoral researcher (24 months[AB6] ) at senior research associate level (band 4): They will be hired to lead the engagement strategy and facilitate interdisciplinary collaboration among the TTW practitioners hub stakeholders. This role will be extended if BridgeAI is successful, and may be suitable for internal recruitment +* 0.5 FTE RAM to support the adoption of The Turing Way across stakeholders and development of outputs from users’ perspective +* Technical writing contractor (5 months): To ramp up TPS and TTW documentation required for the development of TTW Practitioners Hub and BridgeAI work, we will require an external contractor, +* "Experts in residence": We will be aiming to set up two rounds of partial secondments or external fellowship awards for the nominated experts from partnering organisations (see section 6) at approximately 0.2 FTE for 6 months. The most suitable agreement mechanism will be developed during the scoping phase, since we envisage a need for flexibility due to the diversity of organisations targeted. +* Funding for 4 Book Dash events and monthly Fireside Chats throughout the course of the project. + +**5.3 Risks and mitigations _(250 words max)_** + +Please break down: any known risks to the activity meeting its deliverables, the potential impact of these occurring, mitigations that could be put in place. Any assumptions, dependencies, exclusions or constraints + +Risk: Unclear expectations and outcomes for Practitioner Hub organisations + +* Impact: Low engagement with scheme, reputational damage for Turing. +* Mitigation: a project charter will be developed at the beginning of the project. Roles and responsibilities and modes for engagement will be transparently shared. Our partnership lead will negotiate memorandums of understanding for each organisation. + +Risk: Researcher recruitment proceeds slower than expected + +* Impact: Preparation for the "expert in residence" scheme is slowed and is not ready to launch in April 2023 +* Mitigation: Freelance science writer contracted and rapidly onboarded to support documentation and resource development with TPS and TTW + +Risk: Organisations unable to participate due to operational constraints around secondments + +* Impact: Lower than expected engagement, bias in organisations that participate +* Mitigation: Scheme designed with multiple, flexible avenues for participation and initial duration kept to 3 months + +Risk: Misalignment of Practitioners' Hub’s engagement strategy with internal policies and practices + +* Impact: unacceptable operational risks, lack of internal oversight, reputational risks +* Mitigation: TTW team will work with Academic Engagement, People, Training and Partnerships teams when designing the Practitioners' Hub. The Impact Lead will help design and implement the project's evaluation plan. + +Finally, as the project will involve highly influential organisations, to avoid the risk of investing resources in unaligned partnerships, we will start by piloting the hub with selected organisations that have already expressed interest in collaboration. We will deliver the first round of 'experts in residence' as a prototype, gaining insights and iterating before we pursue a large-scale collaboration model. + +## Section 6 - Additional information and feedback + +**6.1 Additional information _(500 words max)_ ** + +Please outline any additional information that would be useful for the Review Panel to consider. + +Impact statements from recent collaborators included:_ _Chelle Genetemann, NASA-TOPS, USA; Laura Acion, MetaDocencia, Argentina; and Chris Erdmann, American Geophysical Union, USA + +**1. Convening forum** + +TTW Practitioners Hub will be formed through a convened forum with pilot stakeholders on a cohort basis. They will be supported across the other three streams to strengthen their skills and achieve wider impact. Through lessons learnt from the pilot, an engagement framework will be established to build new cohorts of organisations with less prior engagement with TTW. + +Additionally, mission aligned initiatives such as The UK Reproducibility Network and AI Standards Hub, and projects such as Data Study Groups, Turing Commons, Data Safe Haven, and Health programme, will be invited to benefit from knowledge exchange, upskilling and engagement opportunities offered in the hub. + +**2. Collaboration and supporting practitioners** + +The “expert in residence” model will support one member from each external organisation in TTW Practitioners Hub through a funding award or partial secondment. During their 'residence', they will: + + + +* Build capacity for and capture the impact of best practices for reproducible, ethical and collaborative data science in their organisation. +* Develop specialised sector specific examples, case studies, recommendations, training resources or ethical considerations around data science from their areas of work to share via TTW. +* Engage with TTW community to curate specific resources to drive the adoption of data science and AI in their communities. +* Gather input and contributions from TTW to improve their strategy for the implementation of data science in their domains and communities. + +**3. Engagement and knowledge exchange** + +TTW will run a series of knowledge shares and events as part of the Practitioners' Hub cohort. + +Additional activities may involve: + +* Workshops to explore how government/industry/public sector/academia currently integrates best practices in data science and AI. +* Developing their organisation’s own strategy around open-source communities and communities of practice +* Contributing to policy briefs and enquiries to raise the profile of data science and AI best practice. +* Participating in TTW community events such as Collaboration Café and Book Dashes (Nov 2022 and May 2023) +* Hosting Fireside Chats, with support from TTW Community Manager + +**4. Acceleration of innovation adoption** + +Participating organisations will be supported to involve their members in wider discussions on how to build better and socially impactful data science products. For this, TTW team will build a standard toolkit for capturing insights and practices and develop guidelines for others considering embedding similar practices. Specifically, experts will be guided to evaluate and report on the impact of data science in their sector and to make the case for further digital innovation. Budget will be allocated to support events and activities in their organisations for creating resources, workshops and embedding curated TTW resources into daily work. + +**6.2 Do you have any feedback about this application process? How might it be improved in the future? _(250 words max)_** + +Some more guidance for what “impact” in this proposal means will be helpful. + +To make the proposal writing as well as review more effective, please consider providing the rubric against which the proposal will be evaluated. + +Maybe rebuttal instead of resubmission could be helpful for reviewers to re-evaluate resubmitted projects against critical feedback/criteria under which the initial proposal was rejected. + +Section 7 - Applicant declaration and sign-off + +7.1 Please upload an application support form with the necessary signatures (instructions on the form and in the guidance/FAQ document). Form available here. + +7.2 I declare to the best of my knowledge the information that I have provided on this form is true, accurate and complete. I understand and hereby agree that if I am offered funding, it will be on the basis of this information and that a false statement may result in withdrawal or termination of the funding. + +7.3 I confirm I have read and agree to the privacy notice and the storage and processing of my data as described therein. I understand that we may share some details of successful applications internally, for example on Mathison (our intranet), externally, for example with EPSRC, and publicly, for example on our website. From 6243a12ba81ff59e1af570cded400aebe0fc02bb Mon Sep 17 00:00:00 2001 From: Malvika Sharan Date: Sun, 7 Apr 2024 12:53:29 +0100 Subject: [PATCH 08/22] Create 2022-hiddenref.md --- project_management/proposals/2022-hiddenref.md | 13 +++++++++++++ 1 file changed, 13 insertions(+) create mode 100644 project_management/proposals/2022-hiddenref.md diff --git a/project_management/proposals/2022-hiddenref.md b/project_management/proposals/2022-hiddenref.md new file mode 100644 index 00000000000..4016ba916af --- /dev/null +++ b/project_management/proposals/2022-hiddenref.md @@ -0,0 +1,13 @@ +# HiddenRef submission for The Turing Way + +- Category: Practices +- Submitter: Emma Karoune + +The Turing Way’s goal is to provide all the information that researchers need at the start of their projects to ensure that they are easy to reproduce at the end. It is an open-source project that involves and supports its diverse community to make data science reproducible, ethical, collaborative and inclusive for everyone. + +The project was conceived and is led by Kirstie Whitaker, the lead of the Tools, Practices and Systems Programme at The Alan Turing Institute. The Community Manager, Malvika Sharan, plays an important role in bringing together the community at regular events and nurturing contributions to the ever-expanding resource, an online book. +The book currently has five guides (Reproducibility, Project Design, Communication, Collaboration and Ethical Research), and a Community handbook. Each guide is a work in progress, as we encourage everyone to keep adding to this resource. +However, The Turing Way is much more than a book: it is a community of practice based around the moonshot goal of making reproducible research ‘too easy not to do’. The outputs belong to The Turing Way community and everyone can freely read, reuse, distribute, modify, and contribute back to the resources in the book. The project is built on open source infrastructure such as Git, Jupiter Book and Netlify. + +We foster a culture of collaboration through being explicit that our project is open for contributions in many different ways, and enabling an inclusive workspace by providing a clear code of practice and contributing guidelines. Our community is global and contributors come from a diverse range of scientific disciplines. There are currently over 250 direct Github contributors and more than 5000 unique users monthly. +The project is also influencing other research communities such as The Health Foundation, UKRI Innovation Scholars, Open Research Handbooks at Reading and York universities, and more. From 381a708c033fd3189a46237f51d3cef816229673 Mon Sep 17 00:00:00 2001 From: Malvika Sharan Date: Sun, 7 Apr 2024 12:56:23 +0100 Subject: [PATCH 09/22] Create 2022-openuk-belonging.md --- .../proposals/2022-openuk-belonging.md | 44 +++++++++++++++++++ 1 file changed, 44 insertions(+) create mode 100644 project_management/proposals/2022-openuk-belonging.md diff --git a/project_management/proposals/2022-openuk-belonging.md b/project_management/proposals/2022-openuk-belonging.md new file mode 100644 index 00000000000..f5a8ac97b4b --- /dev/null +++ b/project_management/proposals/2022-openuk-belonging.md @@ -0,0 +1,44 @@ +# **The Turing Way Nominations for OpenUK 2022 Awards** - successful! + +Submission prepared by Malvika Sharan (The Turing Way project Co-lead, Senior Researcher - The Alan Turing Institute) + +Nominee Email* **theturingway@gmail.com** + +Award nominated for (you may nominate for more than one, but each category must be a separate entry)* **Belonging** + +This nomination is for _The Turing Way_ project represented by project leads, a community manager, a core team of 14 staff and volunteer members, and a community of more than 340 contributors from around the world. _The Turing Way_ is an open source and community-led project that aims to open up the potential of data science for everyone. _The Turing Way_ champions diversity by challenging traditionally siloed research cultures from every angle and provides a community-driven handbook for conducting research in a way that welcomes and supports a truly diverse group of researchers. + +Handbook: Our project brings together a diverse community of researchers, educators, learners, administrators, and stakeholders from within The Alan Turing Institute, across the UK, and internationally. We have collectively written a [web-based book](https://the-turing-way.netlify.app/welcome) with five guides on Reproducible Research, Project Design, Communication, Collaboration and Ethical Research, as well as a Community Handbook. We seek to provide all the information that researchers need at the start of their projects to ensure that they are conducting data science and AI research that is ethical, inclusive and easy to reproduce in the end. + +Community and process: _The Turing Way_ is much more than a book: it is a community of practice that promotes a culture of collaboration and belonging among global contributors with a diverse range of domain expertise. As a community-developed resource, the project belongs to the community and is always a work in progress. Shared under an open licence, everyone can freely read, reuse, distribute, modify, and contribute back to the resources. _The Turing Way_ has embedded equity, diversity and inclusion (EDI) at the very core of its work and has made significant contributions to the wider STEM field on several levels. + +Resources and content: The content of the project focuses on topics that are fundamentally linked to principles of EDI and belonging. As well as being a guide to reproducible research and scientific communication, The Turing way focuses on collaboration and ethical research. The Guide for Collaboration provides recommendations for researchers on how to build diverse teams and create inclusive workspaces spanning topics from remote working to running inclusive events and participatory co-creation. The Guide to Research Ethics grapples with the realities of ethical research, and shares key principles from Responsible Research and Innovation and Research Integrity, as well as sections on activism and internal policy advocacy. + +Collective community efforts: Significantly, _The Turing Way_ team hasn’t produced these guides by choosing a select group of people to decide what is “best practice” but has provided a working example of team science, using a wide community to define the standards and expectations the community would like to see in responsible and ethical research practice. This approach has empowered diverse individuals from different backgrounds, identities and lived experiences to express their viewpoints, fairly represent different realities in research and particularly involve voices from communities that are traditionally marginalised in STEM. _The Turing Way_ now boasts over 345 contributors, who have collectively written over 260 pages across 62 chapters to date. All collaborations and development processes occur in open, challenging the disconnected and isolated nature of the traditional academic research process. Contributors include researchers, open science practitioners, educators, policymakers and data experts across academia, government and industry, in various domains, at all levels of seniority, representing countries including Australia, Argentina, Brazil, Germany, India, the Netherlands, Saudi Arabia, South Africa, Uganda, UK, USA, Venezuela and beyond. Based on web traffic monitoring coupled with references in more than 100 online publications, 30+ citations in peer-reviewed articles and personal testimonials, The Turing Way has thousands of users worldwide in academia, industry, open communities and the public sector. The global reach is also reflected in nearly 3000 monthly users of the book worldwide and 20,000+ cumulative downloads of _The Turing Way_ resources from Zenodo. + +Impact: As well as developing its thriving and diverse community, The Turing Way has engaged in collaborations and advocacy work to encourage reproducible research and collaborative and inclusive research cultures. As a result of these engagements, we have influenced multiple research communities and Data Science projects, and have been cited by more than 20 peer-reviewed articles and nearly 100 online publications, including a reproducibility report from the European Union, a policy commissioned by the Mayor of London, Goldacre review for modern open working and several world-leading training and research organisation. We have inspired the many knowledge-sharing projects that replicate The Turing Way’s practices and formats for online repository and community-led initiatives that include a project from the Office of National Statistics, Genomics England, FAIR Cookbook and several projects within the Turing Institute. + +Force for culture change in data science: Recent reports have highlighted how much must change in research culture in the UK and open science worldwide for the ambitions we all share in terms of diversity to be realised. _The Turing Way_ is different to other projects focused on diversifying data science in that it has fully embraced the need to change scientific and research culture for the better, to support inclusive research for diverse researchers. _The Turing Way_ provides a blueprint for what needs to change, but also evidence of how to co-create meaningful practices through collaboration. Ultimately the project has enabled thousands of contributors to share their vision of what a truly global research culture would look like and has presented that knowledge in an entirely accessible and open format. + +**Relevant Links:** + +* Online Book (website):[ https://the-turing-way.netlify.app/welcome](https://the-turing-way.netlify.app/welcome) +* Project repository:[ https://github.com/alan-turing-institute/the-turing-way](https://github.com/alan-turing-institute/the-turing-way) +* Twitter handle:[ https://twitter.com/turingway](https://twitter.com/turingway) +* Quarterly reports: [https://github.com/alan-turing-institute/the-turing-way/tree/tps-report-2020/project_management/quarterly_reports](https://github.com/alan-turing-institute/the-turing-way/tree/tps-report-2020/project_management/quarterly_reports) +* Impact story:[ https://www.turing.ac.uk/research/impact-stories/changing-culture-data-science](https://www.turing.ac.uk/research/impact-stories/changing-culture-data-science) +* Other resources on Zenodo under CC-BY license:[ https://zenodo.org/communities/the-turing-way](https://zenodo.org/communities/the-turing-way) +* YouTube channels with project resources and updates:[ https://www.youtube.com/channel/UCPDxZv5BMzAw0mPobCbMNuA](https://www.youtube.com/channel/UCPDxZv5BMzAw0mPobCbMNuA) + +Nominator Name* **Malvika Sharan** + +Nominator Email* **msharan@turing.ac.uk** + +Nominator Mobile number + +Please confirm that the Nominee has: + +* if an individual they must be resident in the UK for the preceding 12 months +* If a project they must have one or more key contributors to project UK resident in the past 12 months +* if a company or other legal entity it must be a UK company or UK subsidiary of an international company or set up in the UK +* your agreement to 25 or under on 31 July 2022 for young person award From cb6d72882ec57e00d3a9d9918d91f58c06e22ef3 Mon Sep 17 00:00:00 2001 From: Malvika Sharan Date: Sun, 7 Apr 2024 12:56:34 +0100 Subject: [PATCH 10/22] Rename 2022-hiddenref.md to 2021-hiddenref.md --- .../proposals/{2022-hiddenref.md => 2021-hiddenref.md} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename project_management/proposals/{2022-hiddenref.md => 2021-hiddenref.md} (100%) diff --git a/project_management/proposals/2022-hiddenref.md b/project_management/proposals/2021-hiddenref.md similarity index 100% rename from project_management/proposals/2022-hiddenref.md rename to project_management/proposals/2021-hiddenref.md From e575aea28c29ba2cd4705b3371886988a3ab2981 Mon Sep 17 00:00:00 2001 From: Malvika Sharan Date: Sun, 7 Apr 2024 12:58:56 +0100 Subject: [PATCH 11/22] Create 2021-06-ASG-proposal-for-training.md --- .../2021-06-ASG-proposal-for-training.md | 40 +++++++++++++++++++ 1 file changed, 40 insertions(+) create mode 100644 project_management/proposals/2021-06-ASG-proposal-for-training.md diff --git a/project_management/proposals/2021-06-ASG-proposal-for-training.md b/project_management/proposals/2021-06-ASG-proposal-for-training.md new file mode 100644 index 00000000000..5c2435a4435 --- /dev/null +++ b/project_management/proposals/2021-06-ASG-proposal-for-training.md @@ -0,0 +1,40 @@ +# Turing-Crick Introduction to Data Science for Biomedical Scientists + +**Repository with project outputs: https://github.com/alan-turing-institute/data-training-for-bioscience/** + +- Type: Training Materials +- Previous projects: [The Crick-Turing Biomedical Data Science Awards (BDSAs)](https://www.turing.ac.uk/research/research-projects/crick-turing-biomedical-data-science-awards) +- Project start / end dates and ASG funding duration: 01/10/2019 – 28/02/2021 + +**How would you like to develop this project?** + +We would like to build on the success of the Crick-Turing Biomedical Data Science Awards. Initial projects and feedback from Crick partners have indicated that there is a strong need to develop introductory training materials/resources on good data science practice/reproducible research for experimental biomedical scientists of all skill levels and for early career researchers. Similar feedback has been received via the Turing ‘omics interest group indicating that there is a need for foundational training for the wider cell and molecular biology community. +We would like to meet this need and develop a short “Turing-Crick Introduction to Data Science for Biomedical Scientists” training course. We will work collaboratively with the Crick scientists and wider Turing omics research community and build on / tailor the existing material from The Turing Way project on reproducible, ethical, inclusive and collaborative data science. As an open source project, The Turing Way engages with a community of over 270 contributors to build and maintain resources on good data science practices, as well as promote a culture of collaboration to positively impact data research culture. +Our aim will be to provide accessible training material that is openly available to anyone to repurpose and promote good practice throughout the experimental communities. + +We are particularly interested in projects that showcase: (1) data integration and/or model linking; (2) good data science practice; (3) effective visualisation and/or communication to stakeholders. How would the proposed project development highlight these areas? +The proposed project directly addresses: (2) good data science practice; and (3) effective visualisation and/or communication to stakeholders. Our aim will be to present unfamiliar or complex material to experimentalists in a relatable and easily accessible way. By collaboratively developing this project with domain experts and sharing it openly, we will demonstrate and establish a culture of good data science practice within experimental communities. In building this project, we will embed the 'Tools, practices and systems' (TPS) programme’s core values: build trustworthy systems; embed transparent reporting practices; promote inclusive interoperable design; maintain ethical integrity and encourage respectful co-creation. + +This project extension will leverage strategic engagement between the Turing Institute and 1) The Carpentries and 2) Open Life Science. These two communities are world leaders in training diverse communities in data science and software development skills. Our shared investments in good data science practice will be leveraged in conversations with the Chan Zuckerberg Initiative to scope a strategic partnership with the Institute. + +**How would the proposed project development have cross-theme impact?** +This is a joint submission from the Health and TPS themes. +We will also engage and collaborate with scientists from across the Turing, particularly via the Turing’s Omics data generation and analysis interest group. +Although the training course will be tailored to the biomedical sciences community, there will be overlap with the cell and molecular biology communities. We will engage with the data science for science theme in order to maximize cross-theme impact. Moreover, The Turing Way members will maintain and share materials with domain-independent research practices that are transferable across themes. +What resources are needed for the project development? (approximately) +We anticipate that in designing the course will draw from previously produced material, particularly from The Turing way, contextualised for the biomedical science community via engagement with Crick and omics group researchers. Key to the success will be facilitation by the community managers (The Turing Way and ASG), Research Application Managers (RAMs) and the leadership in community development of Malvika Sharan, who is the Community Manager and (from July 2021) co-lead investigator of The Turing Way project that is already being funded by the ASG TPS theme. +To make material that is relatable to experimentalists, we will draw on domain expertise from the Crick and Turing Health communities. This idea has already been discussed with both the steering group of the Turing-Crick partnership and Turing omics research community. Both groups were enthusiastic and keen to support. + +In addition, the proposed project will need the following resources: +- REG resources – to help develop and present case studies in an intuitive format that is accessible to experimentalists (0.5 person for 6 months). +- TheTuring Way community manager - to coordinate the development and delivery of the case studies, as well as develop and implement the dissemination plans for all the output generated in this project (0.2 person time for 6 months). +- Graphic designer and illustrator – to help prepare training material in an attractive, professional and engaging format (contractors) + +**Do you have someone in mind to conduct this work? If yes, please provide their details and when they would be available to start. Does this person consider themselves to be a member of an underrepresented group in STEM / Data Science?** + +Recruitment for a Community Manager is planned in the next few months for The Turing Way as well as for ASG. + +**If you do not have someone in mind to conduct this work, what person specification requirements would be needed to develop the project?** +We would like to hire a graphic designer on a contract basis to help prepare the training material. + +We will pair the materials with scientific illustrations, designed to enhance accessibility and engage with a diverse audience. We request 2 days of a scientific illustrator from ‘Scriberia’ (£2180 per day). All illustrations will be made available under a free license as demonstrated here by The Turing Way: https://zenodo.org/record/4906004. From 535959b31e0a6ef1b991627e4f3848d2e5591e39 Mon Sep 17 00:00:00 2001 From: Malvika Sharan Date: Sun, 7 Apr 2024 12:59:23 +0100 Subject: [PATCH 12/22] Update 2021-07-ux-funding-turing.md --- project_management/proposals/2021-07-ux-funding-turing.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/project_management/proposals/2021-07-ux-funding-turing.md b/project_management/proposals/2021-07-ux-funding-turing.md index 4fd4198a505..4d1d016918a 100644 --- a/project_management/proposals/2021-07-ux-funding-turing.md +++ b/project_management/proposals/2021-07-ux-funding-turing.md @@ -1,4 +1,4 @@ -# Project title: Enhancing usability (UX/UI) aspects of The _Turing Way_ +# Project title: Enhancing usability (UX/UI) aspects of The _Turing Way_ - unsuccessful ## Stakeholders - Research Programme: Tools, Practices and Systems, The Alan Turing Institute From 2dc76f4302385e2c2c0f355dc26ade41a1f66782 Mon Sep 17 00:00:00 2001 From: Malvika Sharan Date: Sun, 7 Apr 2024 13:06:45 +0100 Subject: [PATCH 13/22] Create 2023-02-skill-policy-award.md --- .../proposals/2023-02-skill-policy-award.md | 158 ++++++++++++++++++ 1 file changed, 158 insertions(+) create mode 100644 project_management/proposals/2023-02-skill-policy-award.md diff --git a/project_management/proposals/2023-02-skill-policy-award.md b/project_management/proposals/2023-02-skill-policy-award.md new file mode 100644 index 00000000000..5187ac3d618 --- /dev/null +++ b/project_management/proposals/2023-02-skill-policy-award.md @@ -0,0 +1,158 @@ +# Skills Policy Awards 2023/2024 - Successful! + +## Section 1 + +**Title: Professionalising traditional and infrastructure research roles in data science** + +**Affiliation:** + +The Alan Turing Institute + +**Applicants:** + +Primary applicant: Emma Karoune, Senior Community Manager + +Co-applicant: Malvika Sharan, Senior Researcher - Open Research + +**Contributors and reviewers** + +Kirstie Whitaker, TPS Programme Director + +Arielle Bennett, TPS Programme Manager + +## Section 2 - Relevant experience + +**Please summarise your relevant data skills/data science education background and/or active research interest in the field.** + +I am a trained researcher with a doctoral degree in Archaeological Science and a PGCE in Secondary Science Education. I have a range of experience in both applying data skills in my own research and teaching data science more broadly to other researchers. As a Senior Community Manager within the Tools, Practices and Systems (TPS) Research programme, I am a key member of The Turing Way (TTW) project, a community-led educational project for open, reproducible and ethical data science. As a community management professional, I have extensive knowledge and experience in building and engaging diverse and inclusive communities in data science. Currently, I lead a team of community managers in Health Research, which is part of the Turing-wide community management team led by Malvika Sharan. Additionally, I facilitate the development of many TTW chapters including a catalogue of Research Infrastructure roles in TTW to recognise and professionalise modern data science roles, see: [https://the-turing-way.netlify.app/collaboration/research-infrastructure-roles.html](https://the-turing-way.netlify.app/collaboration/research-infrastructure-roles.html). + +Beyond the Turing, I hold leadership and advisory roles in international initiatives including Open Life Science, Software Sustainability Institute, ELIXIR-UK and the Open Phytoliths Community that are shaping the landscape of open science policies. + +**Please provide an example where your expertise helped you achieve impact in the data skills/data science education landscape.** + +_Please respond to this question using the STAR method, referenced below._ + +* _Situation: Describe the situation and when it took place._ +* _Task: Explain the task and what the goal was._ +* _Action: Provide details about the action you took to attain this._ +* _Result: Conclude with the result of your action._ + +Situation: During the COVID pandemic, the Turing-RSS Health Data Lab was tasked to help the UK Health Security Agency (UKHSA) by creating modelling data to address policy-relevant questions. However, the organisations hadn’t collaborated previously, requiring the rapid establishment of effective ways of working. + +Task: To ensure effective knowledge and skills transfer between Lab researchers and data science professionals in UKHSA, my goals were to increase the two-way sharing of ongoing research and expertise, make collaboration more agile and facilitate rapid completion of high-quality reproducible research. + +Action: I organised knowledge-sharing opportunities in Lab and UKHSA meetings; promoted events through multiple communication channels; managed project documentation; shared outcomes from the project openly; and connected with other organisations and individuals linking them with each other's research. + +Result: The Lab was incredibly successful in producing high-quality reproducible research and producing timely analytics for the UK government throughout the pandemic. In less than two years we completed 7 projects and published 3+ pre-prints and 6 articles in high-impact journals. The senior leaders used the collaborative opportunities to give feedback on ongoing research by UKHSA teams. Through new collaborations, early-career researchers worked with senior leaders and implemented a predictive model developed by the Lab in new contexts. + +## Section 3 - Project details + +**Please provide a summary of your personal benefit from receiving an award and what you hope to gain in terms of professional development. (300 words) _Your response can explain why you are ideal for the award, your motivation for applying and scope for learning/development. _** + +I am well positioned to deliver on the ‘professionalisation’ theme of the Skills Policy Awards. I am keen to standardise data skills and role descriptors collaboratively. I have a proven track record of publishing peer-reviewed articles, contributing to open science community policies and making workshop-led reports, such as the [Parliamentary Inquiry to Research Integrity](https://www.turing.ac.uk/research/publications/tools-practices-and-systems-programmes-response-reproducibility-and-research) and [UNESCO's Global Call for Best Practices in Open Science](https://zenodo.org/record/6841867). Beyond clearly describing skill sets in the data science and AI landscape, my knowledge and experience will amplify the impact of this work, contributing to the development of the future data science workforce. + +This award gives me the opportunity to extend my knowledge and experience further into the policy environment. As an established open science expert, I am particularly motivated to work with policy experts to guide this research and my understanding of connecting best practices to policies. + +I am keen to expand my professional network by working more closely with the Turing Skills Team and the other awardees as well as benefit from the networking opportunities gained through this project's national and international workshops. + +The publishing of a peer-reviewed article and policy note will add to my repertoire of research outputs as well as contribute to the outputs and influence in this sphere of the TPS programme at the Turing. As a TPS researcher, I am committed to operationalising the recommendations in the AI Council Roadmap. TPS team members hold specialised roles that advocate for and guide the adoption of open, reproducible, inclusive and ethical practices in data science and AI research through interdisciplinary collaboration. As a programme we see a gap in the policy landscape to standardise this approach for enabling high-quality ethical research by professionalising dedicated roles at institutional and national levels. This award will enable a significant step forward in this respect. + +**Please select which of the four thematic areas your proposal aligns best with.** + +_Professionalisation_ + +**Please describe how your proposal aligns with one or more of the four data skills thematic areas.** + +I hold a senior position within TPS, which represents an interdisciplinary open source infrastructure accessible to all, and that empowers a global, decentralised network of people who connect data with domain experts. We embed equity, diversity and inclusion (EDI) at the very core of our work. One of the missions of TPS is to advance open leadership by professionalising expert roles beyond traditional research scientist roles. To achieve this mission, I have helped to establish a community management team through significant investment from the Turing, namely ASG, RSS-LAB, DECOVID, Turing-Roche Partnership, AIM-RSF, Digital Twins and Data-Centric Engineering. Over the last year, I have worked to successfully position Community Managers as highly visible and professionally recognised roles, exemplified by the community-driven impact achieved in the projects with the support of our team. + +This emphasis on supporting data science research through interdisciplinary collaboration, upskilling researchers in data skills and the broader aim of this project of defining traditional and modern data science roles clearly aligns with the professionalisation theme of this award. We are also strongly aligned with the widening participation theme due to our commitment to building diverse and inclusive teams and placing great importance on ethical and EDI-led research. + +**Please identify a gap/challenge in the data skills landscape and clarify how the proposal seeks to address it/them.** + +The National Audit Office report on ‘Challenges in using data across government’ highlights the current gap in data skills at several levels including storage, management, architecture, planning and governance. The majority of these skills are essential for traditional data science research roles, and even more important for professionalising modern roles such as research engineers, data stewards, community managers, research application managers and more. + +This skills gap is compounded by a lack of clarity in definitions for data science roles and their skill requirements. The National Data Strategy states that there is no widely agreed definition of data skills and the role descriptors are used inconsistently across different institutions. Therefore, to enable the upskilling of the current workforce, develop more national and international consistency in hiring practices for these roles, and identify the skills needed by the next generation of data professionals, we need to close this knowledge gap by developing clear definitions of roles in data science and the skills needed to perform these roles. + +This project seeks to lead in this area in collaboration with experts and diverse stakeholders curating both traditional and modern data science roles, skills and their professionalisation which will be communicated broadly to inform policies. + +**Please list the main objectives of the proposed research in order of priority.** + +1. Curating and centralising definitions, role descriptors and skill lists for traditional and modern data science roles in collaboration with stakeholders from national and international institutions -- for use in policy, hiring and career development. +2. Publishing a position paper focused on the newly established Community Management team in TPS with comparison to other data science roles professionalised at the Turing. This will serve as a prototype for creating position papers on other modern and lesser established data science roles. +3. Gaining relevant skills from the policy experts, networking with other awardees and collaborators, and utilising resources enabled by the Skills Policy Awards in developing high-quality outputs that strengthen policies for the professionalisation of modern data science roles alongside the traditional roles in the UK. + +**Please describe your proposed project methodology. _Please also include a draft timeline for delivery and details regarding your objectives in relation to project milestones._** + +_**Timeline and methodologies:**_ + +**1-3 months (March-May 2023)** + +* Scope project in consultation with the mentor to capture resources and descriptors for both traditional and novel/modern data science roles (D1-3). +* Plan national and international workshops to gather content and community feedback (D1). +* Draft position paper on Community Management alongside comparing to all data science roles supported at the Turing (D2). + +**3-6 months (June-August 2023)** + +* Run national and international workshops to achieve the following outputs (D1): + * Curating traditional and modern data science roles recognised at different institutions in the UK. + * Centralising job descriptors/role definitions and skills requirements. + * Inviting community review and feedback on the resource by adding synonyms for roles and career pathways. +* Publish workshop summary (O1). +* Publish the position paper as pre-print and invite reviews (D2). + +**6-9 months (September-November 2023)** + +* Write a policy briefing note drawing from the workshops and the position paper for the broader uptake of centralised role descriptors and associated details (D3). +* Edit and finalise the position paper and submit it to a peer-reviewed journal (O2). + +**9-12 months (December 2023-February 2024)** + +* Get feedback, and reviews and publish the policy briefing notes (O3). +* Present findings from the research at international conferences and platforms (O3). + +**Personnel and projects involved from the Turing: ** + +1. Primary applicant: Emma Karoune (30% FTE - March 2023 - February 2024) +2. Co-applicant: Malvika Sharan (10% FTE - April 2023 - February 2024) +3. Contributor: Arron Lacey (April 2023 - February 2024) -- Contributor to position paper +4. All TPS researchers will engage with the project as contributors towards wider data science roles at Turing and the community management team will support the finalisation of the position paper. +5. The Turing Way project and The Turing Way practitioners hub will be used as additional avenues to engage collaborators from different sectors (external contributors, university, industry, government and non-profit organisations). +6. Contributions from the Research Engineering Group and Academic Skills team will be invited in creating job descriptions for roles like research engineers, data scientists and training officers. +7. Contributors to the “national workshop” will be invited from the Turing University Network, ELIXIR-UK, Software Sustainability Institute (SSI), Royal Statistical Society (RSS), UKRN and Society of RSE. +8. Contributors to the “international workshop” will be invited from international organisations including universities, research institutes, funders and the non-profit sector. + +**Please outline the expected project deliverables and outputs.** + +**_Your response can be a list and should refer to specific times and project milestones._** + +_Deliverable 1 (D1): Two workshops with national and international stakeholders to scope the data science roles landscape_ + +Hybrid workshop with established national partners including Turing University network, informal partners (SSI, RSS, UKRN, ELIXIR-UK), and relevant funders (UKRI, BBSRC) that support traditional data science roles and have successfully professionalised modern data science roles. + +Virtual workshop of international organisations (research institutes, funders and non-profit sector) from established and informal partnerships that host traditional data science roles and have successfully professionalised modern data science roles. + +Output (O1): A written summary of workshop outputs ([link to an example of TTW bookdash summary](https://hackmd.io/@turingway/bookdash-nov2022)), - accessible by CC-BY license. + +_Deliverable 2 (D2): Position paper on community management role professionalised at the Turing_ + +The paper will highlight the newly professionalised TPS-supported Community Managers and contrast this role with the traditional data science and other modern data science roles at Turing. + +Output (O2): An academic paper published as a pre-print for open access and submitted for publication in a peer-reviewed journal. + +_Deliverable 3 (D3): A policy briefing note_ + +Building on deliverables 1 and 2, a policy briefing note will be created for organisations leading collaborative research and data science. This document will aim at standardising descriptors for data science roles in organisations/sectors in the UK and internationally where specific data science roles are yet to be professionalised. + +Output (O3): A comprehensive document summarising all findings from this research published under a permissive license. Additionally, these resources will be presented at international conferences/platforms and shared with all relevant organisations. + +**Please provide a statement to demonstrate that the resources requested are appropriate for the research proposed.** + +**_Please explain how your project is deliverable with respect to your time commitment, project duration and any additional costing, if applicable. All items requested in the proposal must be justified to the best of your ability._** + +I am an experienced senior community management professional with an extensive track record of publishing scientific articles and organising workshops with national and international organisations to consolidate feedback on impactful projects and reports. + +I will lead this project (30% FTE) ensuring the timely delivery of the project as described in this proposal with the support of the co-applicant (10% FTE). This dedicated staff time is the main requirement for delivering engagement activities and publication of the position paper, summary of workshops and a policy briefing note as described in this proposal. + +Additional costs will be required to run two collaborative workshops with national and international contributors to the policy briefing note and an additional workshop to initiate a review of the position paper from TPS stakeholders. The workshops will be hosted as hybrid meetings with in-person participation at the Turing and international participants joining virtually. I would like to provide travel costs for approximately 20 national participants, including catering and accessibility costs as required by participants. + +For the publications, I would like to pay for professionally produced illustrations to visually convey the summary of the skill sets and descriptors for each role and how they overlap. From f97a4a72d6d12b425022fa1677c401ee50691e56 Mon Sep 17 00:00:00 2001 From: Malvika Sharan Date: Sun, 7 Apr 2024 13:06:58 +0100 Subject: [PATCH 14/22] Update 2024-03-CZI-RfI-localisation.md --- project_management/proposals/2024-03-CZI-RfI-localisation.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/project_management/proposals/2024-03-CZI-RfI-localisation.md b/project_management/proposals/2024-03-CZI-RfI-localisation.md index f50027698bb..439f1fd9bdc 100644 --- a/project_management/proposals/2024-03-CZI-RfI-localisation.md +++ b/project_management/proposals/2024-03-CZI-RfI-localisation.md @@ -1,4 +1,4 @@ -# CZI - Request for Information : Localisation Hub +# CZI - Request for Information : Localisation Hub - submitted - Title of idea/information From 7cce9cace498f40a6038e48daee04f35e237b497 Mon Sep 17 00:00:00 2001 From: Malvika Sharan Date: Sun, 7 Apr 2024 13:07:12 +0100 Subject: [PATCH 15/22] Update 2023-10-digital-Infrastructure-insights-fund.md --- .../proposals/2023-10-digital-Infrastructure-insights-fund.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/project_management/proposals/2023-10-digital-Infrastructure-insights-fund.md b/project_management/proposals/2023-10-digital-Infrastructure-insights-fund.md index a17745d5c66..93b16e7f79c 100644 --- a/project_management/proposals/2023-10-digital-Infrastructure-insights-fund.md +++ b/project_management/proposals/2023-10-digital-Infrastructure-insights-fund.md @@ -1,4 +1,4 @@ -# 2023 Digital Infrastructure Insights Fund RFP +# 2023 Digital Infrastructure Insights Fund RFP - unsuccessful! **Call for Proposals:** [2023 Digital Infrastructure Insights Fund RFP](https://fordfoundation.forms.fm/2023-digital-infrastructure-insights-fund-rfp/forms/9724/) From 42aa4df475bb60b9ac1d8a2793b21a327b078291 Mon Sep 17 00:00:00 2001 From: Malvika Sharan Date: Sun, 7 Apr 2024 13:07:38 +0100 Subject: [PATCH 16/22] Update 2023-02-skill-policy-award.md --- project_management/proposals/2023-02-skill-policy-award.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/project_management/proposals/2023-02-skill-policy-award.md b/project_management/proposals/2023-02-skill-policy-award.md index 5187ac3d618..180a4faa0f7 100644 --- a/project_management/proposals/2023-02-skill-policy-award.md +++ b/project_management/proposals/2023-02-skill-policy-award.md @@ -1,4 +1,4 @@ -# Skills Policy Awards 2023/2024 - Successful! +# Skills Policy Awards 2023/2024 - successful! ## Section 1 From f65f2b9360857a0836d169597800c014b9bb6dcc Mon Sep 17 00:00:00 2001 From: Malvika Sharan Date: Sun, 7 Apr 2024 13:07:54 +0100 Subject: [PATCH 17/22] Update 2022-06-ecosystem-leadership-submission.md --- .../proposals/2022-06-ecosystem-leadership-submission.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/project_management/proposals/2022-06-ecosystem-leadership-submission.md b/project_management/proposals/2022-06-ecosystem-leadership-submission.md index 6dd36feac15..eae3e749c2f 100644 --- a/project_management/proposals/2022-06-ecosystem-leadership-submission.md +++ b/project_management/proposals/2022-06-ecosystem-leadership-submission.md @@ -1,4 +1,4 @@ -# The Turing Way Funded Proposal for The Turing Way Practitioner Hub (2022) +# The Turing Way Funded Proposal for The Turing Way Practitioner Hub - successful! **This document is being shared under CC-BY 4.0 SA as this is a funded proposal submitted by The Turing Way team members. Please attribute or reuse appropriately.** From f4176062ad27511da38600f61ef7f74402a61603 Mon Sep 17 00:00:00 2001 From: Malvika Sharan Date: Sun, 7 Apr 2024 13:08:13 +0100 Subject: [PATCH 18/22] Update 2022-04-Einstein-Award-Submission.md --- .../proposals/2022-04-Einstein-Award-Submission.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/project_management/proposals/2022-04-Einstein-Award-Submission.md b/project_management/proposals/2022-04-Einstein-Award-Submission.md index 7adb0130656..7cdfca7203a 100644 --- a/project_management/proposals/2022-04-Einstein-Award-Submission.md +++ b/project_management/proposals/2022-04-Einstein-Award-Submission.md @@ -1,4 +1,6 @@ -# Einstein Award Submission - Later used as The Turing Way Project & Leadership Summary 2022 +# Einstein Award Submission - unsuccessful! + +**Later used as The Turing Way Project & Leadership Summary 2022** _Written by Malvika Sharan (The Turing Way project Co-lead, Senior Researcher - Open Research), Review by Shane Conneely (Partnership Development Lead)_ From db9261500e37d654bec4e7ac9795dc3c8fb1ef18 Mon Sep 17 00:00:00 2001 From: Malvika Sharan Date: Sun, 7 Apr 2024 13:08:40 +0100 Subject: [PATCH 19/22] Update and rename 2022-02-Athena-Award.md to 2022-02-Athena-prize-nomination.md --- ...22-02-Athena-Award.md => 2022-02-Athena-prize-nomination.md} | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename project_management/proposals/{2022-02-Athena-Award.md => 2022-02-Athena-prize-nomination.md} (99%) diff --git a/project_management/proposals/2022-02-Athena-Award.md b/project_management/proposals/2022-02-Athena-prize-nomination.md similarity index 99% rename from project_management/proposals/2022-02-Athena-Award.md rename to project_management/proposals/2022-02-Athena-prize-nomination.md index 1ab2bd562dc..dc0a02f3471 100644 --- a/project_management/proposals/2022-02-Athena-Award.md +++ b/project_management/proposals/2022-02-Athena-prize-nomination.md @@ -1,4 +1,4 @@ -# Turing Way – Athena Prize Nomination +# Turing Way – Athena Prize Nomination - unsuccessful! **Submission prepared by** Malvika Sharan (The Turing Way project Co-lead, Senior Researcher - The Alan Turing Institute), Arielle Bennett (Programme Manager - Tools. Practices and Systems, The Alan Turing Institute), Amy Gallimore (EDI Strategy Officer- Tools. Practices and Systems, The Alan Turing Institute), Kirstie Whitaker (Programme Director - Tools. Practices and Systems, The Alan Turing Institute) From 95859c1229aad3949b100c438d22e89305d467d9 Mon Sep 17 00:00:00 2001 From: Malvika Sharan Date: Sun, 7 Apr 2024 13:08:53 +0100 Subject: [PATCH 20/22] Update 2021-hiddenref.md --- project_management/proposals/2021-hiddenref.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/project_management/proposals/2021-hiddenref.md b/project_management/proposals/2021-hiddenref.md index 4016ba916af..492e5471d55 100644 --- a/project_management/proposals/2021-hiddenref.md +++ b/project_management/proposals/2021-hiddenref.md @@ -1,4 +1,4 @@ -# HiddenRef submission for The Turing Way +# HiddenRef submission for The Turing Way - successsful! - Category: Practices - Submitter: Emma Karoune From 23890cd5f95f9a73510c2dd1abaa9316a94ab3c6 Mon Sep 17 00:00:00 2001 From: Malvika Sharan Date: Sun, 7 Apr 2024 13:09:06 +0100 Subject: [PATCH 21/22] Update 2021-07-ux-funding-turing.md --- project_management/proposals/2021-07-ux-funding-turing.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/project_management/proposals/2021-07-ux-funding-turing.md b/project_management/proposals/2021-07-ux-funding-turing.md index 4d1d016918a..04a4af35c15 100644 --- a/project_management/proposals/2021-07-ux-funding-turing.md +++ b/project_management/proposals/2021-07-ux-funding-turing.md @@ -1,4 +1,4 @@ -# Project title: Enhancing usability (UX/UI) aspects of The _Turing Way_ - unsuccessful +# Project title: Enhancing usability (UX/UI) aspects of The _Turing Way_ - unsuccessful! ## Stakeholders - Research Programme: Tools, Practices and Systems, The Alan Turing Institute From 2ded2bb221db53d3beacb5b5925b89c45c1ea757 Mon Sep 17 00:00:00 2001 From: Malvika Sharan Date: Sun, 7 Apr 2024 13:09:23 +0100 Subject: [PATCH 22/22] Update 2021-06-ASG-proposal-for-training.md --- .../proposals/2021-06-ASG-proposal-for-training.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/project_management/proposals/2021-06-ASG-proposal-for-training.md b/project_management/proposals/2021-06-ASG-proposal-for-training.md index 5c2435a4435..b4e0d81f051 100644 --- a/project_management/proposals/2021-06-ASG-proposal-for-training.md +++ b/project_management/proposals/2021-06-ASG-proposal-for-training.md @@ -1,4 +1,4 @@ -# Turing-Crick Introduction to Data Science for Biomedical Scientists +# Turing-Crick Introduction to Data Science for Biomedical Scientists - successful! **Repository with project outputs: https://github.com/alan-turing-institute/data-training-for-bioscience/**