The scientific production on data quality in big data: a study in the Web of Science database

• Autor(a) principal: Fagundes, Priscila Basto
• Data de Publicação: 2017
• Outros Autores: Macedo, Douglas Dyllon Jeronimo de, Freund, Gislaine Parra
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Revista Digital de Biblioteconomia e Ciência da Informação
• Texto Completo: https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8650412
• topic: Qualidade de dados. Big Data. Gestão da qualidade. Web of Science; Data quality. Big data. Quality Management. Web of Science; Calidad de los datos. Big Data. Gestión de la Calidad. Web of Science

More and more, the big data theme has attracted interest in researchers from different areas of knowledge, among them information scientists who need to understand their concepts and applications in order to contribute with new proposals for the management of the information generated from the data stored in these environments. The objective of this article is to present a survey of publications about data quality in big data in the Web of Science database until the year 2016. Will be presented the total number of publications indexed in the database, the number of publications per year, the location the origin of the research and a synthesis of the studies found. The survey in the database was conducted in July 2017 and resulted in a total of 23 publications. In order to make it possible to present a summary of the publications in this article, searches were made of the full texts of all the publications on the Internet and read the ones that were available. With this survey it was possible to conclude that the studies on data quality in big data had their publications starting in 2013, most of which present literature reviews and few effective proposals for the monitoring and management of data quality in environments with large volumes of data. Therefore, it is intended with this survey to contribute and foster new research on the context of data quality in big data environments.