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:

Leonid Kostrykin

Laura Cooper

Beatriz Serrano-Solano

Yvan Le Bras

Sonal Henson

Armin Dadras

Munazah Andrabi

Sabrina Zander

Dominik Brilhaus

Marie Josse

Sandra Ng

Tristan Reynolds

Julia Jakiela

Khaled Jum'ah

David López

Kevin Frey

Simone Leo

Gabriela Lopez-Gonzalez

Philippe Rocca-Serra

Saskia Lawson-Tovey

Katarzyna Kamieniecka

Sara Morsy

Wendi Bacon

Cristina Martins Rodrigues

Helena Rasche

Marco Enrico Piras

Xenia Perez Sitja

Stella Eggels

Tim Beck

Eli Chadwick

Martin Kuhl

Andrew Mason

Nicola Soranzo

Krzysztof Poterlowicz

Stian Soiland-Reyes

Gareth Price

Teresa Müller

Branka Franicevic

Peter Sefton

Kellie Snow

Björn Grüning

Bruno P. Kinoshita

Martin Čech

Emily Angiolini

Robert Andrews

Korneel Hens

Saskia Hiltemann

Nick Juty

Luca Pireddu

Paul De Geest

Laura Cooper

Funding

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

UFR

Australian BioCommons

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.

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)

The University of Melbourne

DataPLANT

DFG

ELIXIR 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.

MWK