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http://dx.doi.org/10.3745/KTCCS.2022.11.12.461

FAIR Principle-Based Metadata Assessment Framework  

Park, Jin Hyo (동의대학교 IT융합학과)
Kim, Sung-Hee (동의대학교 산업융합시스템공학부)
Youn, Joosang (동의대학교 산업융합시스템공학부)
Publication Information
KIPS Transactions on Computer and Communication Systems / v.11, no.12, 2022 , pp. 461-468 More about this Journal
Abstract
Development of the big data industry, the cases of providing data utilization services on digital platforms are increasing. In this regard, research in data-related fields is being conducted to apply the FAIR principle that can be applied to the assessment of (meta)data quality, service, and function to data quality evaluation. Especially, the European Open Data Portal applies an assessment model based on FAIR principles. Based on this, a data maturity assessment is conducted and the results are disclosed in reports every year. However, public data portals do not conduct data maturity evaluations based on metadata. In this paper, we propose and evaluate a new model for data maturity evaluation on a big data platform built for multiple domestic public data portals and data transactions, FAIR principles used for data maturity evaluation in Europe's open data portals. The proposed maturity evaluation model is a model that evaluates the quality of public data portal datasets.
Keywords
Metadata; FAIR Principle; Data Managements;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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