Authors:
Judie Attard
and
Rob Brennan
Affiliation:
Trinity College Dublin, Ireland
Keyword(s):
Data Value, Data Value Chains, Ontology, Linked Data, Data Governance, Data Management.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Cloud Computing
;
Coupling and Integrating Heterogeneous Data Sources
;
Data Engineering
;
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Health Information Systems
;
Industrial Applications of Artificial Intelligence
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge Management
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Semantic Web Technologies
;
Services Science
;
Society, e-Business and e-Government
;
Software Agents and Internet Computing
;
Symbolic Systems
;
Web Information Systems and Technologies
Abstract:
In this paper we define the Data Value Vocabulary (DaVe) that allows for the comprehensive representation of data value. This vocabulary enables users to extend it using data value dimensions as required in the context at hand. DaVe caters for the lack of consensus on what characterises data value, and also how to model it. This vocabulary will allow users to monitor and asses data value throughout any value creating or data exploitation efforts, therefore laying the basis for effective management of value and efficient value exploitation. It also allows for the integration of diverse metrics that span many data value dimensions and which most likely pertain to a range of different tools in different formats. This data value vocabulary is based on requirements extracted from a number of value assessment use cases extracted from literature, and is evaluated using Gruber’s ontology design criteria, and by instantiating it in a deployment case study.