D2.4 FAIR Cookbook - Public Version

Main Authors: Philippe Rocca-Serra, Robert Giessmann, Andrea Splendiani, Jan-Willem Boiten, Melanie Courtot, Tony Burdett, Fuqi Xu, Susanna-Assunta Sansone
Format: Report publication-deliverable Journal
Bahasa: eng
Terbitan: , 2020
Subjects:
IMI
Online Access: https://zenodo.org/record/3924476
ctrlnum 3924476
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Philippe Rocca-Serra</creator><creator>Robert Giessmann</creator><creator>Andrea Splendiani</creator><creator>Jan-Willem Boiten</creator><creator>Melanie Courtot</creator><creator>Tony Burdett</creator><creator>Fuqi Xu</creator><creator>Susanna-Assunta Sansone</creator><date>2020-06-30</date><description>FAIRplus seeks to establish &#x2018;FAIRification&#x2019; processes that can be used at scale to ensure FAIRness of IMI data. The FAIR Cookbook aims to collate protocols for making data FAIR: Findable, Accessible, Interoperable, Reusable. This includes how to FAIRify a number of exemplar datasets, putting the FAIR principles in practice; basic knowledge of what makes data more or less FAIR; understand levels and indicators of FAIRness, and the corresponding maturity model; how to apply the technologies and tools available to assess and improve FAIRness; learn about user roles and their different perspectives on data, and on the challenges when making data FAIR enough for a specific purpose. Continued efforts by consortium partners, organised in &#x201C;squads&#x201D; have significantly improved the breadth and depth of the FAIR cookbook coverage.</description><description>This project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No. 802750. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation and EFPIA companies.</description><identifier>https://zenodo.org/record/3924476</identifier><identifier>10.5281/zenodo.3924476</identifier><identifier>oai:zenodo.org:3924476</identifier><language>eng</language><relation>info:eu-repo/grantAgreement/EC/H2020/802750/</relation><relation>doi:10.5281/zenodo.3924475</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><subject>Innovative Medicine Initiative</subject><subject>IMI</subject><subject>FAIRplus</subject><subject>FAIR principles</subject><subject>FAIRification process</subject><subject>FAIR Cookbook</subject><title>D2.4 FAIR Cookbook - Public Version</title><type>Report:Report</type><type>Other:publication-deliverable</type><recordID>3924476</recordID></dc>
language eng
format Report:Report
Report
Other:publication-deliverable
Other
Journal:Journal
Journal
author Philippe Rocca-Serra
Robert Giessmann
Andrea Splendiani
Jan-Willem Boiten
Melanie Courtot
Tony Burdett
Fuqi Xu
Susanna-Assunta Sansone
title D2.4 FAIR Cookbook - Public Version
publishDate 2020
topic Innovative Medicine Initiative
IMI
FAIRplus
FAIR principles
FAIRification process
FAIR Cookbook
url https://zenodo.org/record/3924476
contents FAIRplus seeks to establish ‘FAIRification’ processes that can be used at scale to ensure FAIRness of IMI data. The FAIR Cookbook aims to collate protocols for making data FAIR: Findable, Accessible, Interoperable, Reusable. This includes how to FAIRify a number of exemplar datasets, putting the FAIR principles in practice; basic knowledge of what makes data more or less FAIR; understand levels and indicators of FAIRness, and the corresponding maturity model; how to apply the technologies and tools available to assess and improve FAIRness; learn about user roles and their different perspectives on data, and on the challenges when making data FAIR enough for a specific purpose. Continued efforts by consortium partners, organised in “squads” have significantly improved the breadth and depth of the FAIR cookbook coverage.
This project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No. 802750. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation and EFPIA companies.
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