Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

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

Brennan, Rob orcid logoORCID: 0000-0001-8236-362X, Attard, Judie orcid logoORCID: 0000-0001-7507-1864, Petkov, Plamen orcid logoORCID: 0000-0002-1757-7987, Nagle, Tadhg orcid logoORCID: 0000-0002-6123-7349 and Helfert, Markus orcid logoORCID: 0000-0001-6546-6408 (2019) Exploring data value assessment: a survey method and investigation of the Perceived relative importance of data value dimensions. In: 21st International Conference on Information Systems (ICEIS), 3-5 May 2018, Heraklion, Crete, Greece.

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 community’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.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Data Value; Business-IT Alignment; Business Value of IT; Data Governance.
Subjects:UNSPECIFIED
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > Lero: The Irish Software Engineering Research Centre
Research Initiatives and Centres > ADAPT
Published in: Brodsky, Alexander and Hammoudi, Slimane, (eds.) 21st International Conference on Information Systems (ICEIS), Proccdings of. .
Official URL:http://dx.doi.org/10.5220/0007723402000207
Copyright Information:© 2019 The Authors
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland and co-funded by the European Regional Development Fund through ADAPTgrant number 13/RC/2106, European Regional Development Fund through the Southern & Eastern Regional Operational Programme to Lero grant 13/RC/2094, European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 713567 (EDGE)
ID Code:23047
Deposited On:01 May 2019 14:55 by Thomas Murtagh . Last Modified 10 Jan 2020 13:56
Documents

Full text available as:

[thumbnail of BrennanEtAl_ICEIS2019_SHORTv07.pdf]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
305kB
Downloads

Downloads

Downloads per month over past year

Archive Staff Only: edit this record