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Impact of a master data management framework to trigger data governance maturity: a systematic literature review

2025-10-31Journal article Open access
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datacite.subject.fosEngenharia e Tecnologia
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorGuerreiro, Leonardo
dc.contributor.authorMartins, José
dc.contributor.authorBernardo, Maria do Rosário
dc.contributor.authorSão Mamede, Henrique
dc.contributor.authorBranco, Frederico
dc.date.accessioned2025-12-29T16:31:34Z
dc.date.available2025-12-29T16:31:34Z
dc.date.issued2025-10-31
dc.description.abstractData governance plays a crucial role for organizations aiming to improve data quality, security, and compliance, yet research reveals ongoing challenges in implementation, maturity, and the practical effectiveness of current frameworks. Despite the availability of numerous concepts, models, and assessments, their actual impact and relevance remain fragmented and insufficiently explored. This Systematic Literature Review (SLR) investigates how data governance frameworks influence maturity and identifies the factors that drive their effectiveness. Through the synthesis of existing research, the review aims to clarify the relationship between governance frameworks and maturity levels, highlight operational benefits, and examine implementation challenges, ultimately contributing to both academic understanding and practical advancements in data governance. Analyzing the most relevant studies, the review seeks to uncover the main governance mechanisms, frameworks, and trends shaping this field, with a central question in focus: How can a structured master data management framework improve data governance maturity?.eng
dc.description.sponsorshipThis work was supported by the National Funds through FCT—Fundação para a Ciência e a Tecnologia, I.P., under Grant UID/50014/2023.
dc.identifier.citationL. Guerreiro, J. Martins, M. do Rosário Bernardo, H. Mamede and F. Branco, "Impact of a Master Data Management Framework to Trigger Data Governance Maturity: A Systematic Literature Review," in IEEE Access, vol. 13, pp. 190644-190667, 2025, doi: 10.1109/ACCESS.2025.3627855.
dc.identifier.doi10.1109/ACCESS.2025.3627855
dc.identifier.issn2169-3536
dc.identifier.urihttp://hdl.handle.net/10400.2/20581
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE - Institute of Electrical and Eletronics Engineers
dc.relationINESC TEC- Institute for Systems and Computer Engineering, Technology and Science
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/11223201
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subjectData governance
dc.subjectData governance maturity level
dc.subjectData governance framework
dc.titleImpact of a master data management framework to trigger data governance maturity: a systematic literature revieweng
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleINESC TEC- Institute for Systems and Computer Engineering, Technology and Science
oaire.awardURIhttp://hdl.handle.net/10400.2/20204
oaire.citation.endPage190667
oaire.citation.startPage190644
oaire.citation.titleIEEE Access
oaire.citation.volume13
oaire.fundingStreamConcurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017/2018) - Financiamento Base
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameGuerreiro
person.familyNameMartins
person.familyNameBernardo
person.familyNameSão Mamede
person.familyNameBranco
person.givenNameLeonardo
person.givenNameJosé
person.givenNameMaria do Rosário
person.givenNameHenrique
person.givenNameFrederico
person.identifierR-002-0P0
person.identifier.ciencia-idE412-BCD0-840F
person.identifier.ciencia-id7F17-9DAD-C007
person.identifier.ciencia-id0E15-939D-338A
person.identifier.orcid0000-0003-3019-9551
person.identifier.orcid0000-0002-7787-6305
person.identifier.orcid0000-0002-9518-0854
person.identifier.orcid0000-0002-5383-9884
person.identifier.orcid0000-0001-8434-4887
person.identifier.scopus-author-id36458782500
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