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:

Nick Juty

Saskia Hiltemann

Laura Cooper

Emily Angiolini

Julia Jakiela

Sabrina Zander

Gabriela Lopez-Gonzalez

Andrew Mason

Luca Pireddu

Branka Franicevic

Katarzyna Kamieniecka

Munazah Andrabi

Helena Rasche

Teresa Müller

Kellie Snow

Paul De Geest

Cristina Martins Rodrigues

Khaled Jum'ah

Kevin Frey

David López

Stian Soiland-Reyes

Philippe Rocca-Serra

Stella Eggels

Gareth Price

Tim Beck

Korneel Hens

Robert Andrews

Björn Grüning

Bruno P. Kinoshita

Yvan Le Bras

Marie Josse

Peter Sefton

Saskia Lawson-Tovey

Marco Enrico Piras

Dominik Brilhaus

Laura Cooper

Krzysztof Poterlowicz

Armin Dadras

Sara Morsy

Martin Kuhl

Martin Čech

Simone Leo

Leonid Kostrykin

Sonal Henson

Eli Chadwick

Sandra Ng

Tristan Reynolds

Xenia Perez Sitja

Nicola Soranzo

Wendi Bacon

Beatriz Serrano-Solano

Funding

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

UFR

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.

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.

Melbourne Bioinformatics

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.

The University of Melbourne

Australian BioCommons

DataPLANT

ELIXIR Europe

MWK

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)