The Turing Way community receives in-kind contributions from members supported by their employers, projects or organisations for their participation. Such contributions are applicable when one or multiple members from a project or organisation collaborate to build and maintain resources in The Turing Way. These contributions also include projects that build upon The Turing Way resources or collaborate with The Turing Way team members in various capacities. We acknowledge each of these contributing members individually and list their profiles under “Collaborating organisations and projects”.
The Faculty of Applied Sciences is the largest of Delft University of Technology and focuses on finding innovative solutions to some of the problems faced by society. Development of the fundamental knowledge needed to underpin technical developments that can be widely used throughout society. In ensuring that this knowledge can be shared efectively with the wider society, the Faculty values the sharing of data and code and has a Research Data Management policy in place since 2020. In this effort, the contributions from the Faculty of Applied Sciences have mainly focused on the Reproducible Research Chapter of The Turing Way.
- Roles:
- Project Memebr (2020-Present)
- Book Dash Participant 2020
- Book Dash Planning Committee 2021
- Semi regular co-working call crasher
- GitHub id: EstherPlomp
- ORCID: 0000-0003-3625-1357
- Twitter: @PhDToothFAIRy
- Short bio:
I'm a Data Steward at the Delft University of Technology, Faculty of Applied Sciences, in the Netherlands, where I support researchers with their data management and open science practices. For my PhD research, I analysed human teeth for their isotopic/chemical composition in order to say something about human mobility patterns (fields of forensics, archaeology, osteology). Next to the Turing Way I'm also involved with other teams, such as the Open Research Calendar (follow the calendar on Twitter!), IsoArcH and I was an OLS3 mentor! I'm also interested in anything related to physical samples in research, and I'm a co-chair of the Research Data Alliance Physical Samples Interest Group.
- Personal highlights:
Thanks to the Turing Way I really learned how to work collaboratively using GitHub. The book dash in February 2020 was a great kick start to actually practice and directly apply these skills, which now allows me to contribute more confidently to other projects as well! I primarily contributed to the Reproducible Research Chapter, to the Research Data Management section, and to the Research Infrastructure Roles. I reviewed existing content and I'm working on adding a section on Data Management Plans and how to handle personal data. I also made a The Turing Way poster that I presented during a conference. I hope to pay it forward and facilitate others in learning how to work with GitHub through The Turing Way or The Carpentries workshops. I'm very grateful to be part of this great and inclusive community!
- More information:
I think scientific research should be accessible to anyone that would like to learn and contribute. I'm hoping to bring together specialists from my research field to establish guidelines for isotopic data from human remains and guidelines for how to handle and document physical samples. I'm a co-chair of the Research Data Alliance group Physical Samples and Collections in the Research Data Ecosystem IG. Please do get in touch if you work with physical samples and would like to get involved! I'm part of the Open Research Calendar Team. This is a calendar that you can use to stay up to date with open research events, or add your own events to in order to increase visibility. Visit us at the Open Research Calendar Website or follow the calendar on Twitter!
- Quote:
Being a part of the organising committee for the online Book Dashes was an exciting opportunity for me to look behind the organisation scenes and to be a part of an amazing team. The BookDashes themselves are absolutely amazing, especially the discussions and the 'show and tell' sessions!
The Netherlands eScience Center is the Dutch national hub for the development and application of domain overarching software and methods for the scientific community. Their main goal is to enable scientists with varying computing experience to fully utilize the potential of the available e-infrastructure and allow them to achieve otherwise unreachable scientific breakthroughs. The Netherlands eScience Center is primarily funded by the national research council (NWO) and the national e-infrastructure organization (SURF) of the Netherlands.
The Netherlands eScience center maintains its own guide for reproducible software development. The focus of the eScience center guide has a big overlap with The Turing Way and therefore it makes sense to avoid duplicating efforts. The eScience center contributes to The Turing Way in the areas which are relevant for the eScience guide. The eScience guide points to The Turing Way in when information would otherwise be duplicated.
Details of each members with their contributions have been listed alphabetically.
- Role:
- Project Memebr (2020-Present)
- Book Dash Participant 2020
- Book Dash Planning Committee 2021
- Community Manager for eScience Center
- GitHub id: c-martinez
- ORCID: 0000-0001-5565-7577
- Short bio:
Carlos obtained his PhD in Computer Science at the University of Exeter. Afterwards he worked on various research projects at the University of Exeter and Plymouth University. At the eScience Center, he has worked as an engineer in diverse projects in digital humanities and life sciences, developing expertise in natural language processing, linked open data and software sustainability. He is also a certified Software Carpentry instructor and is frequently involved in organising trainings.
- Personal highlights:
We always advocate for software reuse and collaborative development of software. I love that we can do the same for software development guidelines: reuse content from the eScience guide and collaboratively develop with The Turing Way community!
- More information:
I am a big advocate of improving software quality. I am really glad that the eScience center is collaborating with The Turing Way in providing guidelines and helping build better research software.
- Role:
- Project Memebr (2020-Present)
- Book Dash Participant/Helper 2020
- GitHub id: mkuzak
- ORCID: 0000-0003-0087-6021
- Short bio:
Mateusz obtained his master degree in Biotechnology with specialization Biophysics, at the Jagiellonian University, Krakow, Poland. In September 2019 Mateusz joined the Netherlands eScience Center in the role of Community Officer with the focus on communities and training around Research Software Engineering, software best practices and sustainability, and the role of software in open science and reproducible research. Since 2015, Mateusz has been involved in the Carpentries community, first as an instructor, later contributor, mentor, Executive Council member and instructor trainer. He is also leading the Dutch chapter of the Carpentries and is on the core team of nl-RSE community.
- Personal highlights:
I have personally contributed to The Turing Way by drafting chapters in the guide for Reproducible Research, reviewed other contributor's Pull Requests and mentored contributions from Netherlands eScience Center.
FAIR Cookbook is an online resource that helps researchers and data managers professionals make their data Findable, Accessible, Interoperable and Reusable (FAIR). FAIRPlus Cookbook builds on The Turing Way project and community models, and provides chapters as "recipes" according to the FAIR elements, audience type, reading time, and level of difficulty.
The Turing Way team members and project's editorial board members, Susanna-Assunta Sansone and Philippe Rocca-Serra, collaborate to ensure an interoperability between the two resources and exchange experiences as open source project developers. FAIR Cookbook features relevant chapters from The Turing Way. Similarly, The Turing Way features the project and provides an impact story titled From FAIR Co-Author to FAIR Doer by Susanna-Assunta Sansone (a co-lead of the FAIR Cookbook project). You can find more details and background in the chapter Leveraging the Turing Way Book.
- Role:
- Book Dash Participant 2019
- GitHub id: susannasansone
- ORCID: 0000-0001-5306-5690
- Short bio:
Susanna-Assunta Sansone is an Associate Director and Principal Investigator at the Oxford e-Research Centre, and an Associate Professor in the Department of Engineering Science of the University of Oxford. She is also a Consultant for Springer Nature, and Founding Honorary Academic Editor of the Scientific Data journal.
- Personal highlights:
TBA
- More information:
Susanna-Assunta Sansone's motto is "Better data for better science". With her group of brilliant research software & knowledge engineers, she researches and develops methods and tools to improve data reuse; they work for data transparency, research integrity and the evolution of scholarly publishing. She also conducts research-on-research, to improve how research is practiced and shared. Specifically, she strives to make digital research objects, including data, Findable, Accessible, Interoperable and Reusable, FAIR, for humans and for machines.
- Role:
- Book Dash Participant 2020
- GitHub id: proccaserra
- ORCID: 0000-0001-9853-5668
- Short bio:
Philippe Rocca-Serra received a PhD in Molecular Biology from the University of Bordeaux, moving to the field of bioinformatics upon joining the Microarray Informatics Team at the EMBL-EBI, Cambridge. There, working at establishing ArrayExpress, he became an active member of several standardisation efforts aimed at promoting the vision for open data and open science. As part of several EU projects in toxicogenomics and nutrigenomics, he coordinated the development of the ISA project [1], which now continues at the University of Oxford e-Research Centre.
- Personal highlights:
TBA
Under the collaboration name OLS-4 for Turing, The Turing Way collaborates with Open Life Science (OLS), a programme that helps individuals and stakeholders in research to become Open Science ambassadors. This programme is cofounded by Bérénice Batut, Malvika Sharan and Yo Yehudi. This collaboration offers training and mentoring to interested members from Turing and The Turing Way communities to join the OLS programme individually or in teams. They develop Open Science aspects in the projects that they either already have been working on or want to develop in the near future.
You can see the projects that participated in the second round - OLS-2 and the third round - OLS-3. This collaboration was awarded the Turing Online Training grant to support Turing projects in the fourth round (OLS-4) and share materials openly in the Turing training network.
This resource was started by Isabel Birds during the COVID-19 pandemic to support students transferred from wet to remote dry lab projects at short notice. This project includes links to (1) general tutorials for the complete beginner, (2) tutorials for specific analyses or pipelines, (3) free online textbooks, and (4) places to ask for help.
- GitHub id: IsabelBirds
- ORCID: 0000-0001-8173-3879
- Short bio:
Isabel is a PhD candidate at University of Leeds working on dissecting the function and molecular evolution of long non-coding RNAs Supervised by Dr Julie Aspden, Dr Mary J O’Connell and Dr David Westhead. She has been interested in molecular evolution and the applications of bioinformatic techniques throughout her degree, and developed these interests while undertaking research projects in the Aspden and O’Connell labs.
She also has experience of scientific research from a funders perspective, gained during her year in industry and numerous summer internships with Yorkshire Cancer Research.
- Personal highlights:
After learning about the Turing Way I was inspired to create a site aimed at a wider audience. The Turing Way tutorials helped me to set up my first Jupyter Book, helped me to create the site in a way that is open to contributions, and made sharing my work openly less scary! The Turing Way also pops up a few times in the resources listed. The aim of the resource is to make starting a computational project less overwhelming by curating links to tutorials and online textbooks. Skills such as file management or asking for help effectively are also highlighted, along with entertaining things like podcasts as a reminder that research can be fun!