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dc.contributor.authorPIEROZZI JUNIOR, I.
dc.contributor.authorBERTIN, P. R. B.
dc.contributor.authorMACHADO, C. R. de L.
dc.contributor.authorSILVA, A. R. da
dc.date.accessioned2018-03-09T00:32:38Z-
dc.date.available2018-03-09T00:32:38Z-
dc.date.created2018-03-08
dc.date.issued2018
dc.identifier.citationIn: THOMAS, C. (Ed.). Ontology in information science. Rijeka: InTech, 2018. chap. 4, p. 83-104.
dc.identifier.isbn978-953-51-3888-4
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1088829-
dc.descriptionIn 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
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectMapas semânticos
dc.subjectMapeamento do conhecimento
dc.subjectGerenciamento de dados
dc.subjectGestão da informação
dc.subjectSemantic maps
dc.subjectData management
dc.subjectKnowledge management
dc.subjectKnowledge mapping
dc.titleTowards semantic knowledge maps applications: modelling the ontological nature of data and information governance in a R&D organization.
dc.typeParte de livro
dc.date.updated2018-03-09T11:11:11Zpt_BR
dc.subject.thesagroPesquisa agrícola
dc.subject.thesagroGestão do Conhecimentopt_BR
dc.subject.nalthesaurusAgricultural research
dc.subject.nalthesaurusKnowledge
dc.subject.nalthesaurusInformation management
dc.description.notesNa publicação: Claudia De Laia Machado.
riaa.ainfo.id1088829
riaa.ainfo.lastupdate2018-03-09 -03:00:00
dc.identifier.doihttp://dx.doi.org/10.5772/67978
dc.contributor.institutionIVO PIEROZZI JUNIOR, CNPTIA; PATRICIA ROCHA BELLO BERTIN, SDI; CLAUDIA REGINA DE LAIA MACHADO, CNPS; ALESSANDRA RODRIGUES DA SILVA, SCT.
Aparece en las colecciones:Capítulo em livro científico (CNPTIA)

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