Título:	Towards semantic knowledge maps applications: modelling the ontological nature of data and information governance in a R&D organization.
Autoria:	PIEROZZI JUNIOR, I. BERTIN, P. R. B. MACHADO, C. R. de L. SILVA, A. R. da
Afiliação:	IVO PIEROZZI JUNIOR, CNPTIA; PATRICIA ROCHA BELLO BERTIN, SDI; CLAUDIA REGINA DE LAIA MACHADO, CNPS; ALESSANDRA RODRIGUES DA SILVA, SCT.
Ano de publicação:	2018
Referência:	In: THOMAS, C. (Ed.). Ontology in information science. Rijeka: InTech, 2018. chap. 4, p. 83-104.
Conteúdo:	In organizational management, it is highly recommended that data and information be adequately prepared to match the knowledge needed to be used in decision-making processes. However, faced with the paradigm of complexity that currently dictates the dynamics of modern organizations, there is still a search for operational solutions that allow agility and flexibility to corporate information flows to meet that desired condition. In this context, the concept of data and information governance presents itself as a fundamental premise because it systematizes, reorganizes and reorients each element of the organizational system (people, processes, structures, etc.) without losing the notion of its contexts and causalities. For this, in the conceptual modelling of governance, the concept of systemism arises to support the balance between holistic and reductionist approaches, inherent in management processes, but often considered antagonistic or contradictory. The present chapter presents and discusses a data and information governance model for research and development (R&D) organizations. The model is based upon the concepts of data, information and knowledge life cycles and knowledge mapping, recovering and valuing the ontological nature of the elements of the system under analysis and constructing a pragmatic proposal for corporate application and operation
Thesagro:	Pesquisa agrícola Gestão do Conhecimento
NAL Thesaurus:	Agricultural research Knowledge Information management
Palavras-chave:	Mapas semânticos Mapeamento do conhecimento Gerenciamento de dados Gestão da informação Semantic maps Data management Knowledge management Knowledge mapping
ISBN:	978-953-51-3888-4
Digital Object Identifier:	http://dx.doi.org/10.5772/67978
Notas:	Na publicação: Claudia De Laia Machado.
Tipo do material:	Parte de livro
Acesso:	openAccess
Aparece nas coleções:	Capítulo em livro científico (CNPTIA)