Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1185900
Título: A framework for data governance and management of the Semear Digital Center.
Autoria: DRUCKER, D. P.
MENDES, C. I. C.
VACARI, I.
APOLINÁRIO, D. R. de F.
ROMANI, L. A. S.
Afiliação: DEBORA PIGNATARI DRUCKER, CNPTIA; CASSIA ISABEL COSTA MENDES, CNPTIA; ISAQUE VACARI, CNPTIA; DANIEL RODRIGO DE FREITAS APOLINARIO, CNPTIA; LUCIANA ALVIM SANTOS ROMANI, CNPTIA.
Ano de publicação: 2025
Referência: In: WORKSHOP CIENTÍFICO DO CENTRO DE CIÊNCIA PARA O DESENVOLVIMENTO EM AGRICULTURA DIGITAL – SEMEAR DIGITAL, 2., 2025, Campinas. Anais [...]. Piracicaba: ESALQ/USP, 2025. p. 83-91.
Conteúdo: Data is the basis of scientific research and is increasingly important to support decision-making, becoming even more critical in a center focused on research and development of digital technologies for agriculture. The Center of Science for Development in Digital Agriculture (Semear Digital Center) generates heterogeneous data in terms of structure, volume, frequency, and content, as well as its comprehensive temporal, spatial, and thematic scopes. Our objective is to present a framework for data governance and management for the Semear Digital Center, developed to ensure data preservation, documentation, integrity, accountability, and regulatory compliance throughout its life cycle, from data generation to publication. We performed an exploratory study based on a literature review, document analysis, and expert consultation. Our framework for data governance carefully followed the legal regulations, as well as the sponsor´s and the leader institution's rules. We developed a data lifecycle model to guide the data management framework that will assist researchers and other stakeholders in properly manage data assets generated within the Center's scope.
Thesagro: Agricultura
NAL Thesaurus: Agriculture
Palavras-chave: Gestão de dados
Governança de dados
Ciclo de vida de dados
Projeto Semear Digital
Data governance
Data management
Data Lifecycle
ISBN: 978-85-86481-94-9
Notas: Organização: Silvia Maria Fonseca Silveira Massruhá, Durval Dourado Neto, Luciana Alvim Santos Romani, Jayme Garcia Arnal Barbedo, Édson Luis Bolfe, Ivan Bergier, Maria Angelica de Andrade Leite, Vitor Del Alamo Guarda, Catarina Barbosa Careta.
Tipo do material: Artigo em anais e proceedings
Acesso: openAccess
Aparece nas coleções:Artigo em anais de congresso (CNPTIA)

Arquivos associados a este item:
Arquivo TamanhoFormato 
AA-Framework-Data-Workshop-2025.pdf318,64 kBAdobe PDFVisualizar/Abrir

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace