FAIR Data, Workflows, and Research — Editorial Board Home

This is a new, experimental "Editorial Board Home" for a given topic. It is intended to provide a single place for maintainers and editorial board members to find out key information about their topic and identify action items.

Editorial Board

orcid logoKatarzyna Kamieniecka avatar Katarzyna Kamienieckaorcid logoStian Soiland-Reyes avatar Stian Soiland-Reyesorcid logoPaul De Geest avatar Paul De Geestorcid logoKrzysztof Poterlowicz avatar Krzysztof Poterlowiczorcid logoSimone Leo avatar Simone Leoorcid logoLuca Pireddu avatar Luca Pireddu

Action Items

Item Status Why you should do this
Summary Done ✅ Provide a sufficiently detailed summary of the topic to let learners know what they're learning about in this topic.
Sufficient Editorial Board Members Done ✅ (6 members) Having multiple people sharing the burden of being responsible for a specific topic can reduce board member burn-out in the long term.
Enable Subtopics Done ✅ Subtopics help organize the content and make it easier to navigate.
Annotate Funders Done ✅ (12 funders) By annotating the funders of your topic's materials, you make it easier to write your grant reports later
Learning Pathway CTA Pending ❌ By providing a Learning Pathway CTA, we can help guide learners to the best resources for learning about this topic.
Review Feedback Received Ongoing 🔁 Review all feedback received for the FAIR Data, Workflows, and Research topic and create GitHub issues or PRs where needed.
Review open Pull Requests Ongoing 🔁 View all open PRs in the FAIR Data, Workflows, and Research topic and review, comment and merge!
Review open GitHub Issues Ongoing 🔁 View all open issues related to the FAIR Data, Workflows, and Research topic and comment, fix, or ask others for help!

Topic Materials

Material Contributions v2 Pre-requisites Follow up trainings Data on Zenodo Notebook Server Compatibility
FAIR in a nutshell ✅ ❌
Introduction to Data Management Plan (DMP) for Peatland Research and PeatDataHub ✅ ❌
Making clinical datasets FAIR ✅ ✅ ❌
Sequence data submission to ENA ✅ ✅ ❌
FAIR data management solutions ✅ ✅ ❌
FAIR Galaxy Training Material ✅ ✅ ❌
FAIR Bioimage Metadata ✅ ✅ ✅ ❌
REMBI - Recommended Metadata for Biological Images – metadata guidelines for bioimaging data ✅ ✅ ✅ ❌
FAIRification of an RNAseq dataset ✅ ✅ ❌
Integrating InvenioRDM-compatible Repositories with Galaxy ✅ ✅
Uploading Data to Zenodo from Galaxy ✅ ✅
RO-Crate - Introduction ✅ ✅ ✅ ✅
Workflow Run RO-Crate Introduction ✅ ✅
Exporting Workflow Run RO-Crates from Galaxy ✅ ✅ ✅
RO-Crate in Python ✅ ✅ ✅
Best practices for workflows in GitHub repositories ✅ ✅ ✅
Submitting workflows to LifeMonitor ✅ ✅ ✅
FAIR and its Origins ✅ ✅ ✅ ❌
Metadata ✅ ✅ ✅ ❌
Data Registration ✅ ✅ ✅ ❌
Access ✅ ✅ ✅ ❌
Persistent Identifiers ✅ ✅ ❌
DataPLANT ARCs ✅ ✅ ✅
An earth-system RO-Crate ✅ ✅

Topic Workflows

Material Workflow Updated Version Tests Reports Comments

Your topic's Workflow Testing Results

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Learning Pathways using materials from this Topic

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FAIR Data Management

The FAIR data management training learning pathway teaches you how to organise, describe, and store research data according to the FAIR principles (Findable, Accessible, Interoperable, Reusable).

fair dmp data management data stewardship
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Events using materials from this Topic

TODO once this is merged: https://github.com/galaxyproject/training-material/pull/4963

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