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:

Andrew Mason

Beatriz Serrano-Solano

Sonal Henson

Gabriela Lopez-Gonzalez

Stella Eggels

Teresa Müller

Yvan Le Bras

Leonid Kostrykin

Bruno P. Kinoshita

Branka Franicevic

Julia Jakiela

Luca Pireddu

Robert Andrews

Kellie Snow

Marie Josse

Kevin Frey

Dominik Brilhaus

Marco Enrico Piras

Tim Beck

Helena Rasche

Laura Cooper

Simone Leo

Gareth Price

Nicola Soranzo

Sara Morsy

Nick Juty

Cristina Martins Rodrigues

Wendi Bacon

Stian Soiland-Reyes

Eli Chadwick

Paul De Geest

Xenia Perez Sitja

Munazah Andrabi

Peter Sefton

Martin Čech

Philippe Rocca-Serra

Tristan Reynolds

Krzysztof Poterlowicz

Martin Kuhl

Saskia Lawson-Tovey

Sabrina Zander

Katarzyna Kamieniecka

Sandra Ng

Khaled Jum'ah

Laura Cooper

Björn Grüning

Korneel Hens

Emily Angiolini

David López

Saskia Hiltemann

Armin Dadras

Funding

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

UFR

DataPLANT

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.

Australian BioCommons

The University of Melbourne

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)

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.

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.

ELIXIR Europe

Melbourne Bioinformatics

MWK

DFG