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:

Nicola Soranzo

Dominik Brilhaus

Beatriz Serrano-Solano

Gareth Price

Sandra Ng

Sara Morsy

Marco Enrico Piras

Simone Leo

Gabriela Lopez-Gonzalez

Katarzyna Kamieniecka

Emily Angiolini

Stella Eggels

Luca Pireddu

Nick Juty

Armin Dadras

Sonal Henson

David López

Peter Sefton

Robert Andrews

Paul De Geest

Martin Čech

Julia Jakiela

Andrew Mason

Teresa Müller

Stian Soiland-Reyes

Munazah Andrabi

Xenia Perez Sitja

Saskia Lawson-Tovey

Eli Chadwick

Branka Franicevic

Helena Rasche

Sabrina Zander

Bruno P. Kinoshita

Leonid Kostrykin

Laura Cooper

Cristina Martins Rodrigues

Björn Grüning

Yvan Le Bras

Martin Kuhl

Philippe Rocca-Serra

Kellie Snow

Khaled Jum'ah

Wendi Bacon

Saskia Hiltemann

Tristan Reynolds

Laura Cooper

Kevin Frey

Marie Josse

Korneel Hens

Tim Beck

Krzysztof Poterlowicz

Funding

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

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.

The University of Melbourne

MWK

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)

DataPLANT

DFG

Melbourne Bioinformatics

ELIXIR Europe

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.

Australian BioCommons

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.