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:

Peter Sefton

Branka Franicevic

Gareth Price

Gabriela Lopez-Gonzalez

Dominik Brilhaus

Andrew Mason

Armin Dadras

Björn Grüning

Tristan Reynolds

Leonid Kostrykin

Korneel Hens

Nick Juty

Kevin Frey

Beatriz Serrano-Solano

Khaled Jum'ah

Krzysztof Poterlowicz

Emily Angiolini

Nicola Soranzo

Wendi Bacon

Saskia Lawson-Tovey

Laura Cooper

Robert Andrews

Luca Pireddu

Cristina Martins Rodrigues

Martin Kuhl

Yvan Le Bras

Sonal Henson

Philippe Rocca-Serra

Marco Enrico Piras

Stella Eggels

Paul De Geest

Helena Rasche

David López

Kellie Snow

Eli Chadwick

Tim Beck

Teresa Müller

Saskia Hiltemann

Simone Leo

Stian Soiland-Reyes

Marie Josse

Martin Čech

Munazah Andrabi

Sandra Ng

Bruno P. Kinoshita

Xenia Perez Sitja

Laura Cooper

Katarzyna Kamieniecka

Sara Morsy

Sabrina Zander

Julia Jakiela

Funding

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

UFR

ELIXIR Europe

Melbourne Bioinformatics

DFG

DataPLANT

MWK

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.

The University of Melbourne

Australian BioCommons

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.

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)

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.