FAIR Principle-Based Metadata Assessment Framework


KIPS Transactions on Computer and Communication Systems, Vol. 11, No. 12, pp. 461-468, Dec. 2022
https://doi.org/10.3745/KTCCS.2022.11.12.461,   PDF Download:
Keywords: Metadata, FAIR Principle, Data Managements
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.


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Cite this article
[IEEE Style]
P. J. Hyo, K. Sung-Hee, Y. Joosang, "FAIR Principle-Based Metadata Assessment Framework," KIPS Transactions on Computer and Communication Systems, vol. 11, no. 12, pp. 461-468, 2022. DOI: https://doi.org/10.3745/KTCCS.2022.11.12.461.

[ACM Style]
Park Jin Hyo, Kim Sung-Hee, and Youn Joosang. 2022. FAIR Principle-Based Metadata Assessment Framework. KIPS Transactions on Computer and Communication Systems, 11, 12, (2022), 461-468. DOI: https://doi.org/10.3745/KTCCS.2022.11.12.461.