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:

Katarzyna Kamieniecka

Teresa Müller

Saskia Lawson-Tovey

Tristan Reynolds

Marco Enrico Piras

Sara Morsy

Robert Andrews

Sabrina Zander

Stella Eggels

Stian Soiland-Reyes

Emily Angiolini

Marie Josse

Sonal Henson

Martin Čech

Bruno P. Kinoshita

Peter Sefton

Julia Jakiela

Cristina Martins Rodrigues

Yvan Le Bras

Leonid Kostrykin

Wendi Bacon

Munazah Andrabi

Gareth Price

Eli Chadwick

Beatriz Serrano-Solano

Björn Grüning

Kevin Rue-Albrecht

Saskia Hiltemann

Luca Pireddu

Nicola Soranzo

Helena Rasche

Nick Juty

Sandra Ng

David López

Paul De Geest

Andrew Mason

Laura Cooper

Armin Dadras

Kevin Frey

Simone Leo

Martin Kuhl

Krzysztof Poterlowicz

Philippe Rocca-Serra

Gabriela Lopez-Gonzalez

Tim Beck

Laura Cooper

Xenia Perez Sitja

Kellie Snow

Branka Franicevic

Khaled Jum'ah

Dominik Brilhaus

Korneel Hens

Funding

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

Melbourne Bioinformatics

ELIXIR Europe

DataPLANT

DFG

The University of Melbourne

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.

UFR

MWK

Australian BioCommons

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)

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.

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.