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Enhancing Organizational Data Integrity and Efficiency through Effective Data Lineage

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datacite.subject.fosEngenharia e Tecnologia
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorSilva, Carlos
dc.contributor.authorAbbasi, Maryam
dc.contributor.authorMartins, Pedro
dc.contributor.authorSilva, José
dc.contributor.authorANTUNES VAZ, PAULO JOAQUIM
dc.contributor.authorMota, David
dc.date.accessioned2026-03-11T09:19:39Z
dc.date.available2026-03-11T09:19:39Z
dc.date.issued2023
dc.description.abstractIn the era of exponential data growth and the growing reliance of organizations on data-driven decision-making, understanding the origin, transformation, processing, and destination of data has become crucial. Unfortunately, data arriving at organizations is often incorrect or structured differently, leading to analytical errors and compromising data integrity. Without well-documented data mapping and lineage, organizations risk making strategic decisions based on flawed or inaccurate data. Consequently, the implementation of a robust Data Lineage solution has emerged as a vital component for organizational success. Such a solution not only enables error identification, but also facilitates cost reduction by pinpointing inefficient data processing points and driving efficiency improvements. However, finding the right Data Lineage solution tailored to an organization’s specific requirements remains a challenge. Therefore, it is imperative to select and implement a suitable solution that aligns with each organization’s needs.por
dc.identifier.citationSilva, C., Abbasi, M., Martins, P., Silva, J., Váz, P., & Mota, D. (2023). Enhancing Organizational Data Integrity and Efficiency through Effective Data Lineage. 2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon), 312–317. https://doi.org/10.1109/SmartTechCon57526.2023.10391436
dc.identifier.doi10.1109/SmartTechCon57526.2023.10391436
dc.identifier.urihttp://hdl.handle.net/10400.19/9732
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE
dc.relationCentre for Research in Digital Services
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/10391436
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectData Lineage
dc.subjectData Integrity
dc.subjectData Transformation
dc.subjectData Processing
dc.subjectData Mapping
dc.subjectOrganizational Efficiency
dc.titleEnhancing Organizational Data Integrity and Efficiency through Effective Data Lineagepor
dc.typetext
dspace.entity.typePublication
oaire.awardNumberUIDB/05583/2020
oaire.awardTitleCentre for Research in Digital Services
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05583%2F2020/PT
oaire.citation.endPage317
oaire.citation.startPage312
oaire.citation.title2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon)
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameSilva
person.familyNameANTUNES VAZ
person.givenNameJosé
person.givenNamePAULO JOAQUIM
person.identifier.ciencia-id4A14-D3E7-5B32
person.identifier.ciencia-id351C-9899-0EE7
person.identifier.orcid0000-0001-7285-8282
person.identifier.orcid0000-0002-1745-8937
person.identifier.scopus-author-id55447844100
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublicatione9d8719e-af47-4008-b854-817801bb3964
relation.isAuthorOfPublication702e79ee-5b0b-47ff-989d-12e6d8ea1e89
relation.isAuthorOfPublication.latestForDiscoverye9d8719e-af47-4008-b854-817801bb3964
relation.isProjectOfPublicationa2335235-05b4-404c-a71e-cc37ae7fbf2c
relation.isProjectOfPublication.latestForDiscoverya2335235-05b4-404c-a71e-cc37ae7fbf2c

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