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Contact UsModel for the evaluation of metadata quality: Proposal for open science management in Cuba
DOI:
https://doi.org/10.47909/978-9916-9974-5-1.97Keywords:
metadata quality, open science, disambiguation of author names, data integration, data cleansingAbstract
The evaluation of metadata quality is of vital importance in the management of open science (OS) in Cuba. In the metadata used in open-access computational systems, unresolved quality problems such as incompleteness of records, ambiguous author names, null values, inconsistency in the use of data exchange formats, and the non-adoption of procedures for metadata quality management are detected. Therefore, this paper proposes a model for the evaluation of metadata quality associated with the management of OS in Cuba. This model is constituted by four stages. Stage 1 refers to the measurement of the identified quality dimensions. Stage 2 corresponds to data cleaning and standardization. Stage 3 corresponds to data integration. Stage 4 deals with data disambiguation based on open access criteria and standards. As a result, completeness at the record level and accuracy at the author name level were identified as the main dimensions of quality. Possible duplicate elements were detected for subsequent integration. A case study is presented with two variant solutions, one for grouping synonymous author names and the other for disambiguating synonymous and homonymous author names, thus, laying the foundations for the interoperability of computational systems.
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Copyright (c) 2024 Lisandra Díaz de la Paz, Alberto Taboada Crispí, Amed Abel Leiva Mederos
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