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:

Krzysztof Poterlowicz

Wendi Bacon

Sonal Henson

Marie Josse

Julia Jakiela

Luca Pireddu

Simone Leo

Munazah Andrabi

Beatriz Serrano-Solano

Saskia Lawson-Tovey

Gabriela Lopez-Gonzalez

Leonid Kostrykin

Tristan Reynolds

Katarzyna Kamieniecka

Kellie Snow

Cristina Martins Rodrigues

Dominik Brilhaus

Teresa Müller

Korneel Hens

Philippe Rocca-Serra

Paul De Geest

Saskia Hiltemann

Kevin Frey

Yvan Le Bras

Eli Chadwick

Bruno P. Kinoshita

Björn Grüning

Helena Rasche

Gareth Price

Marco Enrico Piras

Sabrina Zander

Nicola Soranzo

Robert Andrews

Peter Sefton

Andrew Mason

David López

Stian Soiland-Reyes

Sara Morsy

Martin Čech

Laura Cooper

Tim Beck

Xenia Perez Sitja

Martin Kuhl

Emily Angiolini

Stella Eggels

Armin Dadras

Sandra Ng

Nick Juty

Branka Franicevic

Khaled Jum'ah

Laura Cooper

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

DFG

Australian BioCommons

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.

ELIXIR Europe

DataPLANT

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)

MWK

Melbourne Bioinformatics