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:

Yvan Le Bras

Helena Rasche

Andrew Mason

Marco Enrico Piras

Wendi Bacon

Munazah Andrabi

Robert Andrews

Marie Josse

Stella Eggels

Sandra Ng

Teresa Müller

Saskia Hiltemann

Stian Soiland-Reyes

Cristina Martins Rodrigues

Gabriela Lopez-Gonzalez

Armin Dadras

Branka Franicevic

David López

Eli Chadwick

Khaled Jum'ah

Kevin Frey

Philippe Rocca-Serra

Martin Kuhl

Luca Pireddu

Gareth Price

Martin Čech

Laura Cooper

Bruno P. Kinoshita

Tim Beck

Björn Grüning

Sonal Henson

Laura Cooper

Nick Juty

Nicola Soranzo

Kellie Snow

Tristan Reynolds

Julia Jakiela

Sara Morsy

Emily Angiolini

Peter Sefton

Krzysztof Poterlowicz

Simone Leo

Xenia Perez Sitja

Korneel Hens

Katarzyna Kamieniecka

Dominik Brilhaus

Sabrina Zander

Saskia Lawson-Tovey

Paul De Geest

Funding

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

UFR

DFG

The University of Melbourne

Australian BioCommons

Melbourne Bioinformatics

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.

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.

MWK

DataPLANT

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