Data dictionary: a quality look at human resources data from the Federal University of Latin American Integration
DOI:
https://doi.org/10.5380/atoz.v13i0.90347Keywords:
Data dictionary, Data quality, Data collection, General Data Protection Law.Abstract
Introduction: This is a study on the dictionaryization of personal data of professors at a federal university, with the aim of creating a database for the development of operational dashboards. The scope of the research includes data management and governance (DG), focusing on legal aspects and metadata, quality, privacy, security, and protection of these assets. Method: The study utilized bibliographical and documentary research in a descriptive-exploratory, qualitative approach. Results: the compilation of the legal framework regarding data in Brazil was conducted, with a highlight on the General Data Protection Law; the collection and understanding of human resources (HR) data, based on documents and processes related to the teaching career; and the creation of a data dictionary (DD). Conclusion: The literature suggests that dictionaryization in projects involving institutional data is of utmost importance to ensure the usability and credibility of the artifact produced. The procedure should consider the data life cycle, starting with metadata exploration, as well as current regulations. However, despite the benefits envisioned by scholars in the field, metadata is still often overlooked in practice. Thus, this research aimed to contribute to the improvement of public services and to the expansion of scientific production by addressing and testing theoretical premises insufficiently applied in the corporate environment.
References
Alves, W. P. (2014). Banco de Dados. Editora Saraiva.
Aquarela Inovação Tecnológica do Brasil S.A. (2022). O que é um dicionário de dados de Data Analytics. https://www.aquare.la/o-que-e-um-dicionario-de-dados-de-data-analytics/
Arakaki, A. C. S., & Arakaki, F. A. (2020). Dados e metadados: conceitos e relações. Ci.Inf., 49(3), 34- 45. https://doi.org/10.18225/ci.inf.v49i3.5504
Aquarela Analytics. (2022). Guia orientativo de tratamento de Dados Pessoais pelo Poder Público. Versão 1.0. https://www.cge.pr.gov.br/Pagina/Cartilhas-da-Lei-Geral-de-Protecao-de-Dados-LGPD
Barbieri, C. (2020). Governança de dados. Editora Alta Livros.
Barboza, F.F.M., & Freitas, P.H.C. (2018). Modelagem e desenvolvimento de banco de dados. Grupo A.
Conselho Nacional de Arquivos. (2001). Classificação, temporalidade e destinação de documentos de arquivo relativos às atividades-meio da Administração Pública. Arquivo Nacional.
Corregedoria Geral do Estado do Paraná. (2020). Manual de implementação da LGPD.
Escola Nacional de Administração Pública. (2022). Gestão do Conhecimento no Setor Público: Etapas para a implementação da gestão do conhecimento. https://mooc38.escolavirtual.gov.br/course/view.php?id=12379
Escola Técnica da Universidade Vale do Rio Doce. (2014). Aula 5 - Dicionário de Dados. https://pt.slideshare.net/janynnegomes/aula-5-41778197
Garcia, L. R. (2020). Lei Geral de Proteção de Dados (LGPD): Guia de implantação. Editora Blucher. https://app.minhabiblioteca.com.br/books/9786555060164
Lancaster, F. W. (1979). Information Retrieval Systems: Characteristics, Testing, and Evaluation. John Wiley & Sons.
Laudon, K. C., & Laudon, J. P. (2013). Sistemas de informação gerenciais. Pearson Pratice Hall.
Lima, A. P. M. C. D. (2021). LGPD Aplicada. Grupo GEN.
Lei nº 13.709, de 14 de agosto de 2018. (2018). Lei Geral de Proteção de Dados Pessoais (LGPD). https://www.planalto.gov.br/ccivil_03/_ato2015-2018/2018/lei/l13709.htm
Loshin, D. (2009). Master Data Management. Morgan Kaufmann.
McGilvray, D. (2008). Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information. Morgan Kaufmann.
Neto, A. P. D. A. (2021). Governança de dados. Editora Saraiva.
Portaria nº 260/2021/GR. (2021). Universidade Federal da Integração Latino-Americana, https://l1nq.com/B5YFM
Portaria nº 261/2021/GR. Universidade Federal da Integração Latino-Americana, https://acesse.dev/klbwH
Portaria nº 3/2022/GR. Universidade Federal da Integração Latino-Americana, (2022). https://l1nq.com/kh20N
Rêgo, B. L. (2013). Gestão e Governança de Dados: Promovendo dados como ativo de valor nas empresas. Rio de Janeiro: Brasport.
Rêgo, B. L. (2020). Simplificando a governança de dados: governe os dados de forma objetiva e inovadora. Brasport.
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