Authors:
Jan Merkus
;
Remko Helms
and
Rob Kusters
Affiliation:
Faculty of Management, Science & Technology, Open Universiteit, Valkenburgerweg 177, Heerlen and The Netherlands
Keyword(s):
Data Governance, Information Governance, Data Management, Information Management, Data Information Knowledge Wisdom (DIKW), Meaning.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Data Engineering
;
Enterprise Information Systems
;
Guidelines, Principles, Patterns and Standards
;
HCI on Enterprise Information Systems
;
Human-Computer Interaction
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Symbolic Systems
Abstract:
Chaos emerges with the ever growing amounts of data and information within organisations. But it is problematic to manage these valuable assets and also remain accountable and compliant for them because there is no agreement about even their definitions. Our objective is to propose a coherent set of definitions for data governance and information governance within and across organisations in relation with data and information as underlying concepts. As a research method, we explore elements from existing definitions in literature about the Data-Information-Knowledge-Wisdom pyramid and about data governance and information governance. Classification of these elements and coding them in concepts during discussions among peers resulted in a new vocabulary. This forms the basis for formulation and design of an original coherent set of definitions for data, information, meaning, data governance and information governance. This research is grounded, goal oriented and uses multiple accepted
literature review methods. But it is limited to the literature found and the IS domain.
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