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English Information

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Authors
# Name
1 Clovis Junior(clovis@ufr.edu.br)
2 Carina Dorneles(carina.dorneles@ufsc.br)

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Reference
# Reference
1 Batini, C., Cappiello, C., Francalanci, C., and Maurino, A. (2009). Methodologies for data quality assessment and improvement. 41(3).
2 Cai, L. and Zhu, Y. (2015). The challenges of data quality and data quality assessment in the big data era. Data Science Journal, 14:2.
3 Cichy, C. and Rass, S. (2019). An overview of data quality frameworks. IEEE Access.
4 Malaverri, J. and Medeiros, C. (2012). Data quality in agriculture applications. Proceedings of the Brazilian Symposium on GeoInformatics, pages 128–139.
5 Sadiq, S. and et al. (2018). Data quality: The role of empiricism. SIGMOD Rec., 46(4):35–43.
6 Sidi, F., Shariat Panahy, P. H., Affendey, L. S., Jabar, M. A., Ibrahim, H., and Mustapha, A. (2012). Data quality: A survey of data quality dimensions. In 2012 International Conference on Information Retrieval Knowledge Management, pages 300–304.
7 Silvola, R., Harkonen, J., Vilppola, O., Kropsu-Vehkapera, H., and Haapasalo, H. (2016). Data quality assessment and improvement. International Journal of Business Information Systems, 22:62–81.