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:

Korneel Hens

Saskia Lawson-Tovey

Xenia Perez Sitja

Gareth Price

Philippe Rocca-Serra

Andrew Mason

Tristan Reynolds

Julia Jakiela

Katarzyna Kamieniecka

Bruno P. Kinoshita

Sonal Henson

Luca Pireddu

Martin Čech

Robert Andrews

Eli Chadwick

Björn Grüning

Dominik Brilhaus

Marie Josse

Gabriela Lopez-Gonzalez

Sara Morsy

Laura Cooper

Armin Dadras

Krzysztof Poterlowicz

Kellie Snow

Stella Eggels

Cristina Martins Rodrigues

Saskia Hiltemann

Branka Franicevic

Laura Cooper

Khaled Jum'ah

Martin Kuhl

Yvan Le Bras

Wendi Bacon

Emily Angiolini

Nicola Soranzo

Munazah Andrabi

Marco Enrico Piras

David López

Nick Juty

Simone Leo

Peter Sefton

Sabrina Zander

Tim Beck

Sandra Ng

Helena Rasche

Kevin Frey

Stian Soiland-Reyes

Paul De Geest

Funding

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

Australian BioCommons

UFR

Melbourne Bioinformatics

MWK

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.

The University of Melbourne

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.

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)

ELIXIR Europe

DFG