Collaborative Approach for Improving Data Quality in Botanical Databases

• Luís Alexandre Estevão Silva UFRJ / Jardim Botânico do Rio de Janeiro
• Ricardo Oliveira Barros UFRJ
• Eduardo Dalcin Jardim Botânico do Rio de Janeiro
• Geraldo Zimbrão UFRJ
• Jano Moreira de Souza UFRJ

Abstract

The purpose of this study is to consider how research in collaborative technology can assist at development of management systems for botanical collections, at sharing the knowledge of researchers and promoting the spread of identifications and taxonomic revisions. For this approach a study was conducted in order to verify the quality of data and the main types of errors found in this type of biodiversity database application. A model for the development of an architecture for the system is proposed.

References

Barros, R. O. (2009) "Qualidade de Informação na Web: Um Prognóstico Fuzzy Baseado em Metadados, p. 231, tese de doutorado, Universidade Federal do Rio de Janeiro;

Beall, J. (2005) “Metadata and Quality Problems in the Digital Library”, Journal of Digital Information, [link];

Dalcin, E. C. (2005) “Data Quality Concepts and Techniques Applied to Taxonomic Databases” tese de doutorado, Universidade de Southhampton, [link];

Moura, A. M. C., Silva, L. A., Campos, M. L. M. (2001) “A Metadata Approach for Designing Configurable Interfaces in Digital Libraries”, In: 12th International Workshop on Databases and Expert Systems Applications, Munique. DEXA 2001. Los Alamitos: IEEE Computer Society Press, 2001. v.1. p.942 – 947, [link], março;

Peralta, V., Ruggia, R., Kedad, Z., & Mokrane, B. (2004) “A framework for data quality evaluation in a data integration system”, Proceedings of the Brazilian Symposium of Databases (pp.134–147);

Pipino, L. L., Lee, Y.W., & Wang, R.Y. (2002) “Data quality assessment”, Communications of the ACM, 45, 211–218;

Ross, T. J. (2004) “Fuzzy Logic with Engineering Applications”, 2nd ed. ed. West Sussex, England;

Rothenberg, J. (1996) “Metadata to support data quality and longevity”, Proceedings of the 1st IEEE Metadata Conference (pp. 16–18);

Strong, D. M., Y. W. Lee, R. Y. Wang (1997) “Data quality in context”, Communications of ACM 40:103-110;

Stvilia, B., Gasser, L., Twidale, M. B. and Smith, L. C. (2007) "A Framework for Information Quality Assessment", Assessment, [link], março;

Twidale, M. B., Marty, P.F. (1999) “An investigation of data quality and collaboration”,Technical Report UIUCLIS - 1999, University of Illinois at Urbana-Champaign, USA;

Tiwana, A. (2000) “The Knowledge Management Toolkit, A Practical Techniques for Building a Knowledge Management System”, Prentice Hall;

Xexéo, G., Belchior, A., & da Rocha, A.R.C. (1996) “Aplicação da teoria fuzzy em requisitos de qualidade de software”, Memorias-I, XXII CLEI, Santafé de Bogotá, Colombia, Junio (pp. 3–7).