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:

Björn Grüning

Korneel Hens

Philippe Rocca-Serra

Nick Juty

Katarzyna Kamieniecka

Marco Enrico Piras

Luca Pireddu

David López

Munazah Andrabi

Marie Josse

Peter Sefton

Laura Cooper

Sandra Ng

Paul De Geest

Julia Jakiela

Nicola Soranzo

Gabriela Lopez-Gonzalez

Tristan Reynolds

Andrew Mason

Saskia Hiltemann

Simone Leo

Helena Rasche

Laura Cooper

Sabrina Zander

Teresa Müller

Stella Eggels

Krzysztof Poterlowicz

Kellie Snow

Eli Chadwick

Saskia Lawson-Tovey

Branka Franicevic

Armin Dadras

Sonal Henson

Xenia Perez Sitja

Martin Čech

Wendi Bacon

Gareth Price

Robert Andrews

Stian Soiland-Reyes

Martin Kuhl

Emily Angiolini

Leonid Kostrykin

Bruno P. Kinoshita

Kevin Frey

Cristina Martins Rodrigues

Tim Beck

Yvan Le Bras

Dominik Brilhaus

Beatriz Serrano-Solano

Sara Morsy

Khaled Jum'ah

Funding

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

ELIXIR Europe

MWK

UFR

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.

Australian BioCommons

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.

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.

Melbourne Bioinformatics

DFG

DataPLANT