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

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

Saffron: a data value assessment tool for quantifying the value of data assets

Attard, Judie orcid logoORCID: 0000-0001-7507-1864, Debattista, Jeremy orcid logoORCID: 0000-0002-5592-8936 and Brennan, Rob orcid logoORCID: 0000-0001-8236-362X (2019) Saffron: a data value assessment tool for quantifying the value of data assets. In: ISWC 2019: The International Semantic Web Conference, 26 - 30 Oct 2019, Aukland, New Zealand.

Abstract
Data has become an indispensable commodity and it is the basis for many products and services. It has become increasingly important to understand the value of this data in order to be able to exploit it and reap the full benefits. Yet, many businesses and entities are simply hoarding data without understanding its true potential. We here present Saffron; a Data Value Assessment Tool that enables the quantification of the value of data assets based on a number of different data value dimensions. Based on the Data Value Vocabulary (DaVe), Saffron enables the extensible representation of the calculated value of data assets, whilst also catering for the subjective and contextual nature of data value. The tool exploits semantic technologies in order to provide traceable explanations of the calculated data value. Saffron therefore provides the first step towards the efficient and effective exploitation of data assets.
Metadata
Item Type:Conference or Workshop Item (Poster)
Event Type:Conference
Refereed:Yes
Subjects:UNSPECIFIED
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > ADAPT
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:EU Horizon 2020, through Marie Sklodowska-Curie grant agreement No. 713567, Science Foundation Ireland (SFI) Research Centres Programme (Grant 13/RC/2106)
ID Code:23802
Deposited On:25 Oct 2019 11:32 by Thomas Murtagh . Last Modified 01 Mar 2022 15:28
Documents

Full text available as:

[thumbnail of paper539.pdf]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
757kB
Downloads

Downloads

Downloads per month over past year

Archive Staff Only: edit this record