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:

Paul De Geest

Katarzyna Kamieniecka

Laura Cooper

Laura Cooper

Armin Dadras

Munazah Andrabi

Stella Eggels

Gabriela Lopez-Gonzalez

David López

Kevin Frey

Beatriz Serrano-Solano

Marco Enrico Piras

Saskia Lawson-Tovey

Emily Angiolini

Philippe Rocca-Serra

Khaled Jum'ah

Teresa Müller

Wendi Bacon

Xenia Perez Sitja

Björn Grüning

Marie Josse

Dominik Brilhaus

Nicola Soranzo

Andrew Mason

Sandra Ng

Sabrina Zander

Bruno P. Kinoshita

Luca Pireddu

Martin Kuhl

Branka Franicevic

Eli Chadwick

Tristan Reynolds

Leonid Kostrykin

Tim Beck

Nick Juty

Sonal Henson

Helena Rasche

Sara Morsy

Yvan Le Bras

Martin Čech

Julia Jakiela

Peter Sefton

Cristina Martins Rodrigues

Krzysztof Poterlowicz

Gareth Price

Kellie Snow

Saskia Hiltemann

Robert Andrews

Simone Leo

Stian Soiland-Reyes

Korneel Hens

Funding

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

ELIXIR 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.

UFR

Melbourne Bioinformatics

DFG

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

MWK

DataPLANT

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.