Importance of the Open Data Assessment

An Insight Into the (Meta) Data Quality Dimensions

Datos Bibliográficos

ID3333803
AutoresBarbara Šlibar (0000-0002-7201-9494, University of Zagreb, autor de correspondencia), Dijana Oreški (0000-0002-3820-0126, University of Zagreb), Nina Begičević Ređep (0000-0002-6588-536X, University of Zagreb)
Año2021
Volumen11
Número2
Fecha de publicación2021-04-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaSAGE Open (JOURNAL)
Identificadores de la revistaISSN: 2158-2440 • E-ISSN: 2158-2440
EditorialSAGE Publications Inc (PUBLISHER)
DOI10.1177/21582440211023178
OpenAlexW3167174765
IdiomaEN
Citas recibidas6
Referencias citadas88

Data are the most important resource of the 21st century. The open data (OD) movement provides publicly available data for the development of a knowledge-based society. As such, the concept of OD is a valuable information technology (IT) tool for economic, social, and human development, which adds value. To further develop these processes on a global scale, users need to manage the quality of OD in their practices. Otherwise, what is the point of using data just for the sake of using it (in science or practice) without thinking about data compliance with norms, standards, and so forth? This article aims to provide an overview of (meta)data quality dimensions, sub-dimensions, and metrics used within OD assessment-related research papers. To achieve this, the authors performed a systematic literature review (SLR) and extracted data from 86 relevant studies dealing with the evaluation of OD. The article endows the progress made so far in OD assessment research. Findings of reviewing the assessment of the OD in the light of existing (meta)data quality dimensions unveil the potential of metadata. Furthermore, the analysis disclosed the need for greater use of quantitative methods in research, and metadata can greatly assist in this

Data quality · Data science · Knowledge management · Management science · MEDLINE · Metadata · Political science · Systematic review · World Wide Web · Big Data and Business Intelligence · Computer Science · Data Quality and Management · Engineering