FAIR Data, Workflows, and Research

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

Material

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.

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.

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.

DataPLANT ARCs

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

Other

Assorted Tutorials

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

Editorial Board

This material is reviewed by our Editorial Board:

Simone Leo

Luca Pireddu

Stian Soiland-Reyes

Paul De Geest

Katarzyna Kamieniecka

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:

Xenia Perez Sitja

Bruno P. Kinoshita

Wendi Bacon

Katarzyna Kamieniecka

Yvan Le Bras

Saskia Hiltemann

Paul De Geest

Julia Jakiela

Martin Kuhl

Branka Franicevic

Laura Cooper

Simone Leo

Nicola Soranzo

Sabrina Zander

Gareth Price

Martin Čech

Philippe Rocca-Serra

Sonal Henson

Stian Soiland-Reyes

Robert Andrews

Gabriela Lopez-Gonzalez

Luca Pireddu

Sandra Ng

Stella Eggels

Korneel Hens

Kevin Frey

Tim Beck

Armin Dadras

Björn Grüning

Kellie Snow

Peter Sefton

Cristina Martins Rodrigues

Marie Josse

Emily Angiolini

Munazah Andrabi

Eli Chadwick

Helena Rasche

Khaled Jum'ah

Andrew Mason

Sara Morsy

Laura Cooper

Krzysztof Poterlowicz

Saskia Lawson-Tovey

Marco Enrico Piras

Nick Juty

Dominik Brilhaus

Funding

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

ELIXIR Europe

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.

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.

DFG

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)

DataPLANT

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.