STING database quality assessment.

STING database quality assessment.

Short Abstract: Inaccurate or inconsistent data can hinder our ability to interpret the research results. An effective data quality strategy can help the research to better handle its scientific objective, reducing costly operational inefficiencies. Here we present the results of our effort to access the quality of data in STING Database.

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Bibliographic Details
Main Authors: OLIVEIRA, S. R. de M., FALCÃO, P. R. K., YAMAGISHI, M. E. B., NESHICH, G., RODRIGUES, D. N., SOUZA, K. R. R., MORITA, D. U., ALMEIDA, G. V., MAZONI, I., SANTOS, E. H. dos, VIEIRA, F. D., JARDINE, J. G.
Other Authors: STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; PAULA REGINA KUSER FALCAO, CNPTIA; MICHEL EDUARDO BELEZA YAMAGISHI, CNPTIA; GORAN NESHICH, CNPTIA; DIEGO N.RODRIGUES; KASSYUS R. R. SOUZA; DOUGLAS U. MORITA; GUSTAVO V. ALMEIDA; IVAN MAZONI, CNPTIA; EDGARD HENRIQUE DOS SANTOS, CNPTIA; FABIO DANILO VIEIRA, CNPTIA; JOSÉ GILBERTO JARDINE, CNPTIA.
Format: Anais e Proceedings de eventos biblioteca
Language:Ingles
English
Published: 2006-08-17
Subjects:Base de dados Sting, Avaliação da qualidade, Databases,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/9345
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http://www.alice.cnptia.embrapa.br/alice/handle/doc/9345

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