Exploring data value assessment: a survey method and investigation of the perceived relative importance of data value dimensions

dc.contributor.authorBrennan, Rob
dc.contributor.authorAttard, Judie
dc.contributor.authorPetkov, Plamen
dc.contributor.authorNagle, Tadhg
dc.contributor.authorHelfert, Markus
dc.contributor.editorFilipe, Joaquim
dc.contributor.editorSmialek, Michal
dc.contributor.editorBrodsky, Alexander
dc.contributor.editorHammoudi, Slimane
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderEuropean Regional Development Funden
dc.contributor.funderHorizon 2020en
dc.date.accessioned2019-07-16T09:18:42Z
dc.date.available2019-07-16T09:18:42Z
dc.date.issued2019-05
dc.date.updated2019-07-15T11:57:30Z
dc.description.abstractThis paper describes the development and execution of a data value assessment survey of data professionals and academics. Its purpose was to explore more effective data value assessment techniques and to better understand the perceived relative importance of data value dimensions for data practitioners. This is important because despite the current deep interest in data value, there is a lack of data value assessment techniques and no clear understanding of how individual data value dimensions contribute to a holistic model of data value. A total of 34 datasets were assessed in a field study of 20 organisations in a range of sectors from finance to aviation. It was found that in 17 out of 20 of the organisations contacted that no data value assessment had previously taken place. All the datasets evaluated were considered valuable organisational assets and the operational impact of data was identified as the most important data value dimension. These results can inform the communityĆ¢ s search for data value models and assessment techniques. It also assists further development of capability maturity models for data value assessment and monitoring. This is to our knowledge the first publication of the underlying data for a multi-organization data value assessment and as such it represents a new stage in the evolution of evidence-based data valuation.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationBrennan, R., Attard, J., Petkov, P., Nagle, T. and Helfert, M. (2019) 'Exploring data value assessment: a survey method and investigation of the perceived relative importance of data value dimensions', Proceedings of the 21st International Conference on Enterprise Information Systems (Volume 1), Heraklion, Crete, Greece, 3-5 May, pp. 200-207. doi: 10.5220/0007723402000207en
dc.identifier.doi10.5220/0007723402000207en
dc.identifier.endpage207en
dc.identifier.isbn978-989-758-372-8
dc.identifier.startpage200en
dc.identifier.urihttps://hdl.handle.net/10468/8166
dc.language.isoenen
dc.publisherSciTePressen
dc.relation.ispartofICEIS 2019 - 21st International Conference on Enterprise Information Systems
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2106/IE/ADAPT: Centre for Digital Content Platform Research/en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2094/IE/Lero - the Irish Software Research Centre/en
dc.relation.projectinfo:eu-repo/grantAgreement/EC/H2020::MSCA-COFUND-FP/713567/EU/Cutting Edge Training - Cutting Edge Technology/EDGEen
dc.relation.urihttps://www.scitepress.org/PublicationsDetail.aspx?ID=70HPgYjgse4%3d&t=1
dc.rightsĀ© 2019, SCITEPRESS ā€“ Science and Technology Publications, Lda. All rights reserved. This is the accepted manuscript version of a paper which has been published in final form at: https://doi.org/10.5220/0007723402000207en
dc.subjectData valueen
dc.subjectBusiness-IT alignmenten
dc.subjectBusiness value of ITen
dc.subjectData governanceen
dc.titleExploring data value assessment: a survey method and investigation of the perceived relative importance of data value dimensionsen
dc.typeConference itemen
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