What are Researchers' Needs in Data Discovery? Analysis and Ranking of a Large-Scale Collection of Crowdsourced Use Cases

Mathiak, Brigitte; Juty, Nick; Bardi, Alessia; Colomb, Julien; Kraker, Peter

[journal article]

dc.contributor.author	Mathiak, Brigitte	de
dc.contributor.author	Juty, Nick	de
dc.contributor.author	Bardi, Alessia	de
dc.contributor.author	Colomb, Julien	de
dc.contributor.author	Kraker, Peter	de
dc.date.accessioned	2024-05-02T12:25:40Z
dc.date.available	2024-05-02T12:25:40Z
dc.date.issued	2023	de
dc.identifier.issn	1683-1470	de
dc.identifier.uri	https://www.ssoar.info/ssoar/handle/document/93969
dc.description.abstract	Data discovery is important to facilitate data re-use. In order to help frame the development and improvement of data discovery tools, we collected a list of requirements and users' wishes. This paper presents the analysis of these 101 use cases to examine data discovery requirements; these cases were collected between 2019 and 2020. We categorized the information across 12 'topics' and eight types of users. While the availability of metadata was an expected topic of importance, users were also keen on receiving more information on data citation and a better overview of their field. We conducted and analysed a survey among data infrastructure specialists in a first attempt at ranking the requirements. Between these data professionals, these rankings were very different, excepting the availability of metadata and data quality assessment.	de
dc.language	en	de
dc.relation	info:eu-repo/grantAgreement/EC/info:eu-repo/grantAgreement/EC/H2020/863420	de
dc.rights	info:eu-repo/semantics/openAccess	de
dc.subject.ddc	Publizistische Medien, Journalismus,Verlagswesen	de
dc.subject.ddc	News media, journalism, publishing	en
dc.subject.other	Data Discovery; Research Data; Use Cases; Requirements	de
dc.title	What are Researchers' Needs in Data Discovery? Analysis and Ranking of a Large-Scale Collection of Crowdsourced Use Cases	de
dc.type	info:eu-repo/semantics/article	de
dc.description.review	begutachtet (peer reviewed)	de
dc.description.review	peer reviewed	en
dc.source.journal	Data Science Journal
dc.source.volume	22	de
dc.publisher.country	FRA	de
dc.subject.classoz	Information und Dokumentation, Bibliotheken, Archive	de
dc.subject.classoz	Information and Documentation, Libraries, Archives	en
dc.subject.thesoz	Datenzugang	de
dc.subject.thesoz	data access	en
dc.subject.thesoz	Datendokumentation	de
dc.subject.thesoz	data documentation	en
dc.subject.thesoz	Datenqualität	de
dc.subject.thesoz	data quality	en
dc.rights.licence	Creative Commons - Namensnennung 4.0	de
dc.rights.licence	Creative Commons - Attribution 4.0	en
ssoar.contributor.institution	GESIS	de
internal.status	formal und inhaltlich fertig erschlossen	de
internal.identifier.thesoz	10084126
internal.identifier.thesoz	10040537
internal.identifier.thesoz	10055811
dc.type.stock	article	de
dc.type.document	Zeitschriftenartikel	de
dc.type.document	journal article	en
dc.source.pageinfo	1-8	de
internal.identifier.classoz	1080501
internal.identifier.journal	2131
internal.identifier.document	32
internal.identifier.ddc	070
dc.identifier.doi	https://doi.org/10.5334/dsj- 2023-003	de
dc.description.pubstatus	Veröffentlichungsversion	de
dc.description.pubstatus	Published Version	en
internal.identifier.licence	16
internal.identifier.pubstatus	1
internal.identifier.review	1
ssoar.wgl.collection	true	de
internal.pdf.valid	false
internal.pdf.wellformed	true
internal.pdf.encrypted	false
internal.check.openaire	true	de
ssoar.urn.registration	false	de
ssoar.licence.fund	Funded by the German Research Foundation (DFG) - Project number 442494171

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