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README.md

README.md

Scalable delivery of FAIR training in Life Sciences using Galaxy and the Carpentries training material

Project Number: 8

Research area alignment

  • Training Platform, Galaxy communities, tool, interoperability
  • Training Platform, Galaxy, Bioinformatics Training, Train the Researcher
  • Training Platform, Galaxy, Bioinformatics Training, Train the Trainer, Metabolomics, Marine Metagenomics, Rare disease

Merged from

  • Development of a suite of web tools to facilitate contribution to the training materials for Galaxy
  • Scalable delivery of FAIR training in Life Sciences using Galaxy and the Carpentries training material
  • Galaxy Training Material content expansion

Team

Submitter: Saskia Hiltemann

Proponent(s)

  • Helena Rasche
  • Saskia Hiltemann
  • Saskia Hiltemann

Lead(s)

  • Helena Rasche Saskia Hiltemann Bérénice Batut
  • Saskia Hiltemann Bérénice Batut Helena Rasche Mateusz Kuza Fotis Psomopoulos
  • Bérénice Batut Helena Rasche Björn Grüning Saskia Hiltemann

Nominated participant(s)

  • Helena Rasche - Systems administrator for usegalaxy.eu + their Training Infrastructure as a Service, and expert on Galaxy training materials infrastructure Saskia Hiltemann - Co-developer of the Galaxy training materials infrastructure and frequent contributor of training materials Bérénice Batut - Co-developer of the Galaxy training materials infrastructure and familiarity with Monod
    1. Fotis Psomopoulos - Lesson developer for the Carpentries and Gallantries project member
  1. Mateusz Kuza - Instructor trainer for the Carpentries and Gallantries project member
  2. Saskia Hiltemann - Galaxy training materials expert and Gallantries project member
    1. Bérénice Batut - Community manager of Galaxy Training Network and co-developer of the training materials infrastructure.
  1. Anne Fiebig - Plant scientist developing plant genomics community in Germany.
  2. Helena Rasche - Developer of UseGalaxy.eu’s training infrastructure-as-a-service (TIaaS) and frequent contributor of training materials.

Expected outcomes

  • Evaluation of contribution barriers for the Galaxy Training Materials Evaluation of current strategies of different training communities to support their contributors Web service to generate tutorial skeleton from a link to a Galaxy workflow Exploration of possibility for the customization of Monod to support Galaxy Training Material templates and generate live website previews
  • Direct outcomes of this project include: (a) at least two additional end-to-end Gallantry lessons that will have been evaluated by the involved communities (Galaxy, The Carpentries), (b) interaction and direct involvement of additional relevant communities in the project (such as ELIXIR, GOBLET and H3ABioNet), and (c) evaluation and potential pilot case of scaled up hybrid training within the newly involved networks.
    1. Discussion with the different ELIXIR communities regarding training needs
  1. Mentoring of interested communities
  • Teaching use of Galaxy Training Materials infrastructure
  • Planning the development of new materials
  • Identifying useful resources for their community
  • Assistance getting started developing new training materials
  • Teaching training best practices
  1. Contributions from underrepresented communities to the GTN
  2. Better training material for ELIXIR Galaxy communities

Expected audience

  • Type of participants: programmers, web developers, trainers Knowledge: Galaxy training materials, markdown, github Skills: JavaScript, React.js, python
  • Type of participants: Bioinformaticians, Instructors, Trainers in Life Sciences Knowledge: Single Cell transcriptomics, ChIP-Seq, Variant Analysis and/or Machine Learning Skills: Markdown, GitHub, Galaxy, Training
  • Type of participants: training developers, trainers and members of the different ELIXIR communities Knowledge: training needs Skills: none (optional: GitHub, markdown)

Number of expected hacking days: 4

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