Publikace:
Enhancing Europe PMC Grant Data with PIDs

dc.contributor.authorParkin, Michael
dc.date.accessioned2024-06-28T10:33:10Z
dc.date.available2024-06-28T10:33:10Z
dc.date.issued2024
dc.description.abstractResearch funders need to track the scholarly outputs that arise from projects they fund. This is no trivial task in a landscape of missing or incorrect citation of funding, and ambiguity between individuals and institutions with similar names. The use of PIDs within grant metadata can help tremendously in terms of disambiguation, citability, and facilitate integration into existing systems and workflows. Europe PMC is a life science literature database containing over 43.5 million journal and preprint abstracts and over 9.5 million full-text articles. It’s supported by 35 research funders who share their grant data with Europe PMC and is stored in a grant information system (GRIST). We will discuss the motivations for including PIDs in grant data, share our experience in technical implementation, and look at the progress made towards the incorporation of grants into the scholarly PID infrastructure.en
dc.identifier.doihttps://doi.org/10.48813/es0w-by64
dc.identifier.urihttps://hdl.handle.net/20.500.14391/3221
dc.language.isoen
dc.publisherNational Library of Technology
dc.publisherAustralian Research Data Commons
dc.relation.issupplementedbyhttps://doi.org/10.48813/zcnn-t348
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/
dc.subjectEurope PMCen
dc.subjectpersistent identifiersen
dc.subjectperzistentní identifikátorycs
dc.subjectEurope PMCcs
dc.titleEnhancing Europe PMC Grant Data with PIDsen
dc.typeconference paperen
dspace.entity.typePublication
idr.event.endDate2024-06-13
idr.event.locationPrague, CZ
idr.event.nameOriginalPIDfest 2024en
idr.event.startDate2024-06-11
idr.subjectCategoriesSocial sciences::Media and communications::Library science
relation.isAuthorOfPublication860d6e73-11df-49ea-8042-c236231cd91a
relation.isAuthorOfPublication.latestForDiscovery860d6e73-11df-49ea-8042-c236231cd91a
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