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

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dc.contributor.author Brennan, Rob
dc.contributor.author Attard, Judie
dc.contributor.author Petkov, Plamen
dc.contributor.author Nagle, Tadhg
dc.contributor.author Helfert, Markus
dc.contributor.editor Filipe, Joaquim
dc.contributor.editor Smialek, Michal
dc.contributor.editor Brodsky, Alexander
dc.contributor.editor Hammoudi, Slimane
dc.date.accessioned 2019-07-16T09:18:42Z
dc.date.available 2019-07-16T09:18:42Z
dc.date.issued 2019-05
dc.identifier.citation Brennan, 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: 10.5220/0007723402000207 en
dc.identifier.startpage 200 en
dc.identifier.endpage 207 en
dc.identifier.isbn 978-989-758-372-8
dc.identifier.uri http://hdl.handle.net/10468/8166
dc.identifier.doi 10.5220/0007723402000207 en
dc.description.abstract This 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 communityâ 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.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher SciTePress en
dc.relation.ispartof ICEIS 2019 - 21st International Conference on Enterprise Information Systems
dc.relation.uri https://www.scitepress.org/PublicationsDetail.aspx?ID=70HPgYjgse4%3d&t=1
dc.rights © 2019, SCITEPRESS – 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/10.5220/0007723402000207 en
dc.subject Data value en
dc.subject Business-IT alignment en
dc.subject Business value of IT en
dc.subject Data governance en
dc.title Exploring data value assessment: a survey method and investigation of the perceived relative importance of data value dimensions en
dc.type Conference item en
dc.internal.authorcontactother Tadhg Nagle, Business Information Systems, University College Cork, Cork, Ireland. +353-21-490-3000 Email: t.nagle@ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2019-07-15T11:57:30Z
dc.description.version Accepted Version en
dc.internal.rssid 492900588
dc.contributor.funder Science Foundation Ireland en
dc.contributor.funder European Regional Development Fund en
dc.contributor.funder Horizon 2020 en
dc.description.status Peer reviewed en
dc.internal.copyrightchecked Yes
dc.internal.licenseacceptance Yes en
dc.internal.conferencelocation Heraklion, Crete, Greece en
dc.internal.IRISemailaddress t.nagle@ucc.ie en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2106/IE/ADAPT: Centre for Digital Content Platform Research/ en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2094/IE/Lero - the Irish Software Research Centre/ en
dc.relation.project info:eu-repo/grantAgreement/EC/H2020::MSCA-COFUND-FP/713567/EU/Cutting Edge Training - Cutting Edge Technology/EDGE en


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