FAIR Guiding Principles for scientific data management and stewardship

dc.contributor.authorGoFair
dc.date.accessioned2026-09-02T14:35:02Z
dc.date.issued2016
dc.departmentLibrary
dc.description.abstractIn 2016, the ‘FAIR Guiding Principles for scientific data management and stewardship’1 were published in Scientific Data. The authors intended to provide guidelines to improve the Findability, Accessibility, Interoperability, and Reusability of digital assets. The principles emphasise machine actionability (i.e., the capacity of computational systems to find, access, interoperate, and reuse data with none or minimal human intervention) because humans increasingly rely on computational support to deal with data as a result of the increase in volume, complexity, and creation speed of data.
dc.description.submitterMMM2026
dc.facultyLibrary
dc.identifier.citationGoFair. (2016). FAIR Guiding Principles for scientific data management and stewardship. WIReDSpace. https://hdl.handle.net/10539/49963
dc.identifier.urihttps://hdl.handle.net/10539/49963
dc.language.isoen
dc.publisherGoFair
dc.rights©2016 GoFair. All rights reserved. The copyright in this work vests in the GoFair. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of GoFair.
dc.rights.holderGoFair
dc.schoolLibrary
dc.subjectFAIR Principles
dc.subjectFindability
dc.subjectAccessibility
dc.subjectInteroperability
dc.subjectReusability
dc.subjectGoFair
dc.subjectMetadata
dc.subject.primarysdgSDG-4: Quality education
dc.subject.secondarysdgSDG-9: Industry, innovation and infrastructure
dc.titleFAIR Guiding Principles for scientific data management and stewardship
dc.typeArticle

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