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:

Martin Čech

Helena Rasche

Kellie Snow

Dominik Brilhaus

Xenia Perez Sitja

Robert Andrews

Katarzyna Kamieniecka

Eli Chadwick

Luca Pireddu

Cristina Martins Rodrigues

Sara Morsy

Stian Soiland-Reyes

Korneel Hens

Munazah Andrabi

Armin Dadras

Philippe Rocca-Serra

Branka Franicevic

Wendi Bacon

Sandra Ng

David López

Saskia Hiltemann

Laura Cooper

Tim Beck

Gabriela Lopez-Gonzalez

Nick Juty

Emily Angiolini

Gareth Price

Leonid Kostrykin

Sabrina Zander

Andrew Mason

Beatriz Serrano-Solano

Nicola Soranzo

Paul De Geest

Peter Sefton

Khaled Jum'ah

Saskia Lawson-Tovey

Björn Grüning

Marco Enrico Piras

Teresa Müller

Tristan Reynolds

Martin Kuhl

Marie Josse

Simone Leo

Kevin Frey

Sonal Henson

Julia Jakiela

Krzysztof Poterlowicz

Bruno P. Kinoshita

Stella Eggels

Yvan Le Bras

Laura Cooper

Funding

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

ELIXIR Europe

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

UFR

DFG

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.

Melbourne Bioinformatics

Australian BioCommons

DataPLANT

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)

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