Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/85993
Type: Artigo
Title: A provenance-based approach to manage long term preservation of scientific data
Title Alternative: 
Author: Sousa, Renato Beserra
Cugler, Daniel Cintra
Gonzales Malaverri, Joana Esther
Medeiros, Claudia Bauzer
Abstract: Long term preservation of scientific data goes beyond the data, and extends to metadata preservation and curation. While several researchers emphasize curation processes, our work is geared towards assessing the quality of scientific (meta)data. The rationale behind this strategy is that scientific data are often accessible via metadata - and thus ensuring metadata quality is a means to provide long term accessibility. This paper discusses our quality assessment architecture, presenting a case study on animal sound recording metadata. Our case study is an example of the importance of periodically assessing (meta)data quality, since knowledge about the world may evolve, and quality decrease with time, hampering long term preservation. © 2014 IEEE.
Long term preservation of scientific data goes beyond the data, and extends to metadata preservation and curation. While several researchers emphasize curation processes, our work is geared towards assessing the quality of scientific (meta)data. The ratio
Subject: Sistemas de informação gerencial - Controle de qualidade
Banco de dados
Metadados
Framework (Programa de computador)
Recuperação da informação
Arquitetura de computador
Country: Estados Unidos
Editor: IEEE Computer Society
Citation: Proceedings - International Conference On Data Engineering. Ieee Computer Society, v. , n. , p. 126 - 133, 2014.
Rights: fechado
Fechado
Identifier DOI: 10.1109/ICDEW.2014.6818316
Address: https://ieeexplore.ieee.org/abstract/document/6818316
Date Issue: 2014
Appears in Collections:IC - Artigos e Outros Documentos

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