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 logoKatarzyna Kamieniecka avatar Katarzyna KamienieckaGareth Price avatar Gareth Priceorcid logoBranka Franicevic avatar Branka Franicevicorcid logoNicola Soranzo avatar Nicola Soranzoorcid logoGabriela Lopez-Gonzalez avatar Gabriela Lopez-Gonzalezorcid logoMarco Enrico Piras avatar Marco Enrico PirasLaura Cooper avatar Laura Cooperorcid logoMarie Josse avatar Marie Josseorcid logoKhaled Jum'ah avatar Khaled Jum'ahorcid logoRobert Andrews avatar Robert Andrewsorcid logoCristina Martins Rodrigues avatar Cristina Martins Rodriguesorcid logoSaskia Hiltemann avatar Saskia HiltemannKellie Snow avatar Kellie Snoworcid logoMartin Čech avatar Martin ČechStella Eggels avatar Stella EggelsLaura Cooper avatar Laura Cooperorcid logoWendi Bacon avatar Wendi Baconorcid logoEli Chadwick avatar Eli Chadwickorcid logoBruno P. Kinoshita avatar Bruno P. Kinoshitaorcid logoArmin Dadras avatar Armin Dadrasorcid logoPeter Sefton avatar Peter Seftonorcid logoLeonid Kostrykin avatar Leonid Kostrykinorcid logoMartin Kuhl avatar Martin Kuhlorcid logoKevin Frey avatar Kevin FreyMartin Carrere avatar Martin CarrereSonal Henson avatar Sonal Hensonorcid logoKrzysztof Poterlowicz avatar Krzysztof Poterlowiczorcid logoMunazah Andrabi avatar Munazah Andrabiorcid logoLuca Pireddu avatar Luca Piredduorcid logoSaskia Lawson-Tovey avatar Saskia Lawson-Toveyorcid logoSimone Leo avatar Simone Leoorcid logoSara Morsy avatar Sara Morsyorcid logoEmily Angiolini avatar Emily AngioliniSandra Ng avatar Sandra Ngorcid logoKevin Rue-Albrecht avatar Kevin Rue-Albrechtorcid logoStian Soiland-Reyes avatar Stian Soiland-Reyesorcid logoPaul De Geest avatar Paul De Geestorcid logoAndrew Mason avatar Andrew Masonorcid logoJulia Jakiela avatar Julia Jakielaorcid logoTeresa Müller avatar Teresa MüllerDavid López avatar David Lópezorcid logoDominik Brilhaus avatar Dominik Brilhausorcid logoNick Juty avatar Nick Jutyorcid logoTristan Reynolds avatar Tristan Reynoldsorcid logoYvan Le Bras avatar Yvan Le Brasorcid logoXenia Perez Sitja avatar Xenia Perez Sitjaorcid logoHelena Rasche avatar Helena Rascheorcid logoBeatriz Serrano-Solano avatar Beatriz Serrano-Solanoorcid logoBjörn Grüning avatar Björn Grüningorcid logoPhilippe Rocca-Serra avatar Philippe Rocca-SerraKorneel Hens avatar Korneel HensTim Beck avatar Tim Beckorcid logoSabrina Zander avatar Sabrina Zander

Funding

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

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UFR
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DataPLANT
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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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ELIXIR Europe
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Australian BioCommons
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The University of Melbourne
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MWK
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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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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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DFG
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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