FAIR Data, Workflows, and Research

These lessons will teach you how to make your research objects more FAIR with practical, hands-on advice.

Material

You can view the tutorial materials in different languages by clicking the dropdown icon next to the slides () and tutorial () buttons below.

FAIR Data Management

The FAIR (Findable, Accessible, Interoperable, Reusable) data stewardship created the foundation for sharing and publishing digital assets. These lessons will apply to machine accessibility and emphasize that all digital assets should share data in a way that will enable maximum use and reuse.

Lesson Slides Hands-on Recordings Input dataset Workflows
FAIR in a nutshell
fair open data stewardship
Introduction to Data Management Plan (DMP) for Peatland Research and PeatDataHub
fair open data management plan
Making clinical datasets FAIR
fair open data stewardship
Sequence data submission to ENA
FAIR ENA
FAIR data management solutions
fair dmp data stewardship
FAIR Galaxy Training Material
fair gtn training
FAIR Bioimage Metadata
Data management Metadata Bioimaging
REMBI - Recommended Metadata for Biological Images – metadata guidelines for bioimaging data
Data management Metadata Bioimaging
FAIRification of an RNAseq dataset
fair dmp data stewardship
Integrating InvenioRDM-compatible Repositories with Galaxy
fair InvenioRDM
Uploading Data to Zenodo from Galaxy
fair zenodo

Make workflows FAIR with RO-Crate

This section brought to you by the BY-COVID project, and will teach you how to make your research objects more FAIR with practical, hands-on advice.

Lesson Slides Hands-on Recordings Input dataset Workflows
RO-Crate - Introduction
Workflow Run RO-Crate Introduction
ro-crate
Exporting Workflow Run RO-Crates from Galaxy
ro-crate workflows
RO-Crate in Python
ro-crate jupyter-notebook
Best practices for workflows in GitHub repositories
ro-crate jupyter-notebook
Submitting workflows to LifeMonitor
ro-crate

FAIR Pointers

This series of lessons will tackle FAIR from the perspective of the 15 FAIR Principles published in 2016. You will learn about: FAIR and its origins The FAIR Principles and its basic characteristics.

Lesson Slides Hands-on Recordings Input dataset Workflows
FAIR and its Origins
fair dmp data stewardship
Metadata
fair dmp data stewardship
Data Registration
fair dmp data stewardship
Access
fair dmp data stewardship
Persistent Identifiers
fair dmp data stewardship

DataPLANT ARCs

This set of tutorials will introduce you to DataPLANT ARCs, and all the relevant tools to create your own ARCs

Lesson Slides Hands-on Recordings Input dataset Workflows
DataPLANT ARCs
plants fair data stewardship

Other

Assorted Tutorials

Lesson Slides Hands-on Recordings Input dataset Workflows
An earth-system RO-Crate
earth-system ro-crate ocean marine omics

Learning Pathways

Or have a look at one of our learning pathways involving this topic. Learning pathways are sets of tutorials curated for you by community experts to form a coherent set of lessons around a topic, building up knowledge as you go. We always recommend to follow the tutorials in the order they are listed in the pathway.
GTN logo with a multi-coloured star and the words Galaxy Training Network
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

Frequently Asked Questions

Common questions regarding this topic have been collected on a dedicated FAQ page . Common questions related to specific tutorials can be accessed from the tutorials themselves.

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Community Resources

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Editorial Board

This material is reviewed by our Editorial Board:

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

Are you on the editorial board or want to help out with this topic? View the topic maintainer page for ways to improve this topic!

Contributors

This material was contributed to by:

orcid logoSimone Leo avatar Simone Leoorcid logoWendi Bacon avatar Wendi Baconorcid logoCristina Martins Rodrigues avatar Cristina Martins Rodriguesorcid logoKhaled Jum'ah avatar Khaled Jum'ahorcid logoMarco Enrico Piras avatar Marco Enrico Pirasorcid logoEmily Angiolini avatar Emily Angioliniorcid logoPeter Sefton avatar Peter Seftonorcid logoBranka Franicevic avatar Branka FranicevicLaura Cooper avatar Laura Cooperorcid logoRobert Andrews avatar Robert AndrewsSandra Ng avatar Sandra Ngorcid logoLuca Pireddu avatar Luca PiredduMartin Carrere avatar Martin Carrereorcid logoGabriela Lopez-Gonzalez avatar Gabriela Lopez-Gonzalezorcid logoSaskia Hiltemann avatar Saskia Hiltemannorcid logoAndrew Mason avatar Andrew Masonorcid logoXenia Perez Sitja avatar Xenia Perez Sitjaorcid logoMartin Čech avatar Martin Čechorcid logoMunazah Andrabi avatar Munazah Andrabiorcid logoYvan Le Bras avatar Yvan Le BrasKellie Snow avatar Kellie Snoworcid logoSara Morsy avatar Sara MorsySonal Henson avatar Sonal Hensonorcid logoMartin Kuhl avatar Martin Kuhlorcid logoHelena Rasche avatar Helena Rascheorcid logoKatarzyna Kamieniecka avatar Katarzyna Kamienieckaorcid logoLeonid Kostrykin avatar Leonid KostrykinTim Beck avatar Tim BeckKorneel Hens avatar Korneel Hensorcid logoBeatriz Serrano-Solano avatar Beatriz Serrano-Solanoorcid logoTristan Reynolds avatar Tristan Reynoldsorcid logoBjörn Grüning avatar Björn Grüningorcid logoArmin Dadras avatar Armin Dadrasorcid logoPhilippe Rocca-Serra avatar Philippe Rocca-Serraorcid logoKevin Frey avatar Kevin Freyorcid logoKevin Rue-Albrecht avatar Kevin Rue-Albrechtorcid logoEli Chadwick avatar Eli Chadwickorcid logoMarie Josse avatar Marie JosseStella Eggels avatar Stella Eggelsorcid logoTeresa Müller avatar Teresa Müllerorcid logoSabrina Zander avatar Sabrina Zanderorcid logoStian Soiland-Reyes avatar Stian Soiland-Reyesorcid logoBruno P. Kinoshita avatar Bruno P. Kinoshitaorcid logoKrzysztof Poterlowicz avatar Krzysztof Poterlowiczorcid logoSaskia Lawson-Tovey avatar Saskia Lawson-ToveyGareth Price avatar Gareth Priceorcid logoPaul De Geest avatar Paul De Geestorcid logoDominik Brilhaus avatar Dominik Brilhausorcid logoNick Juty avatar Nick JutyDavid López avatar David Lópezorcid logoJulia Jakiela avatar Julia JakielaLaura Cooper avatar Laura Cooperorcid logoNicola Soranzo avatar Nicola Soranzo

Funding

These individuals or organisations provided funding support for the development of this resource

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Australian BioCommons
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DataPLANT
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BeYond-COVID
BY-COVID is an EC funded project that tackles the data challenges that can hinder effective pandemic response. This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement № 101046203 (BY-COVID)
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EuroScienceGateway
EuroScienceGateway was funded by the European Union programme Horizon Europe (HORIZON-INFRA-2021-EOSC-01-04) under grant agreement number 101057388 and by UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding guarantee grant number 10038963.
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MWK
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UFR
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Fair-Ease
FAIR-EASE is a RIA project funded under HORIZON-INFRA-2021-EOSC-01-04, and it involves a consortium of 25 partners from all over Europe.
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The University of Melbourne
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DFG
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ELIXIR Europe
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DASH UK
This Fellowship was funded through the ELIXIR-UK DaSH project as part of the UKRI Innovation Scholars: Data Science Training in Health and Bioscience call (DaSH). (MR/V038966/1). The project aims to embed Research Data Management (RDM) know-how into UK universities and institutes by producing and delivering training in FAIR data stewardship using ELIXIR-UK knowledge and resources.
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Melbourne Bioinformatics