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:

Tim Beck

Saskia Hiltemann

Robert Andrews

Philippe Rocca-Serra

Eli Chadwick

Gabriela Lopez-Gonzalez

Laura Cooper

Nicola Soranzo

Julia Jakiela

Stian Soiland-Reyes

Björn Grüning

Dominik Brilhaus

Munazah Andrabi

Martin Čech

Beatriz Serrano-Solano

Emily Angiolini

Helena Rasche

Sonal Henson

Andrew Mason

David López

Marco Enrico Piras

Khaled Jum'ah

Xenia Perez Sitja

Luca Pireddu

Teresa Müller

Peter Sefton

Saskia Lawson-Tovey

Martin Kuhl

Bruno P. Kinoshita

Branka Franicevic

Kellie Snow

Kevin Rue-Albrecht

Leonid Kostrykin

Gareth Price

Sabrina Zander

Nick Juty

Tristan Reynolds

Sandra Ng

Katarzyna Kamieniecka

Wendi Bacon

Yvan Le Bras

Marie Josse

Sara Morsy

Simone Leo

Cristina Martins Rodrigues

Paul De Geest

Stella Eggels

Laura Cooper

Kevin Frey

Krzysztof Poterlowicz

Korneel Hens

Armin Dadras

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.

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)

ELIXIR Europe

Melbourne Bioinformatics

The University of Melbourne

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.

UFR

DFG

DataPLANT

Australian BioCommons

MWK

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.