Towards semantic knowledge maps applications: modelling the ontological nature of data and information governance in a R&D organization.

Detalhes bibliográficos
Autor(a) principal: PIEROZZI JUNIOR, I.
Data de Publicação: 2018
Outros Autores: BERTIN, P. R. B., MACHADO, C. R. de L., SILVA, A. R. da
Tipo de documento: Capítulo de livro
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1088829
http://dx.doi.org/10.5772/67978
Resumo: 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
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spelling Towards semantic knowledge maps applications: modelling the ontological nature of data and information governance in a R&D organization.Mapas semânticosMapeamento do conhecimentoGerenciamento de dadosGestão da informaçãoSemantic mapsData managementKnowledge managementKnowledge mappingPesquisa agrícolaGestão do ConhecimentoAgricultural researchKnowledgeInformation managementIn 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 operationNa publicação: Claudia De Laia Machado.IVO PIEROZZI JUNIOR, CNPTIA; PATRICIA ROCHA BELLO BERTIN, SDI; CLAUDIA REGINA DE LAIA MACHADO, CNPS; ALESSANDRA RODRIGUES DA SILVA, SCT.PIEROZZI JUNIOR, I.BERTIN, P. R. B.MACHADO, C. R. de L.SILVA, A. R. da2018-03-09T00:32:38Z2018-03-09T00:32:38Z2018-03-0820182018-03-09T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookPartIn: THOMAS, C. (Ed.). Ontology in information science. Rijeka: InTech, 2018. chap. 4, p. 83-104.978-953-51-3888-4http://www.alice.cnptia.embrapa.br/alice/handle/doc/1088829http://dx.doi.org/10.5772/67978enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2018-03-09T00:32:45Zoai:www.alice.cnptia.embrapa.br:doc/1088829Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542018-03-09T00:32:45falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542018-03-09T00:32:45Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Towards semantic knowledge maps applications: modelling the ontological nature of data and information governance in a R&D organization.
title Towards semantic knowledge maps applications: modelling the ontological nature of data and information governance in a R&D organization.
spellingShingle Towards semantic knowledge maps applications: modelling the ontological nature of data and information governance in a R&D organization.
PIEROZZI JUNIOR, I.
Mapas semânticos
Mapeamento do conhecimento
Gerenciamento de dados
Gestão da informação
Semantic maps
Data management
Knowledge management
Knowledge mapping
Pesquisa agrícola
Gestão do Conhecimento
Agricultural research
Knowledge
Information management
title_short Towards semantic knowledge maps applications: modelling the ontological nature of data and information governance in a R&D organization.
title_full Towards semantic knowledge maps applications: modelling the ontological nature of data and information governance in a R&D organization.
title_fullStr Towards semantic knowledge maps applications: modelling the ontological nature of data and information governance in a R&D organization.
title_full_unstemmed Towards semantic knowledge maps applications: modelling the ontological nature of data and information governance in a R&D organization.
title_sort Towards semantic knowledge maps applications: modelling the ontological nature of data and information governance in a R&D organization.
author PIEROZZI JUNIOR, I.
author_facet PIEROZZI JUNIOR, I.
BERTIN, P. R. B.
MACHADO, C. R. de L.
SILVA, A. R. da
author_role author
author2 BERTIN, P. R. B.
MACHADO, C. R. de L.
SILVA, A. R. da
author2_role author
author
author
dc.contributor.none.fl_str_mv IVO PIEROZZI JUNIOR, CNPTIA; PATRICIA ROCHA BELLO BERTIN, SDI; CLAUDIA REGINA DE LAIA MACHADO, CNPS; ALESSANDRA RODRIGUES DA SILVA, SCT.
dc.contributor.author.fl_str_mv PIEROZZI JUNIOR, I.
BERTIN, P. R. B.
MACHADO, C. R. de L.
SILVA, A. R. da
dc.subject.por.fl_str_mv Mapas semânticos
Mapeamento do conhecimento
Gerenciamento de dados
Gestão da informação
Semantic maps
Data management
Knowledge management
Knowledge mapping
Pesquisa agrícola
Gestão do Conhecimento
Agricultural research
Knowledge
Information management
topic Mapas semânticos
Mapeamento do conhecimento
Gerenciamento de dados
Gestão da informação
Semantic maps
Data management
Knowledge management
Knowledge mapping
Pesquisa agrícola
Gestão do Conhecimento
Agricultural research
Knowledge
Information management
description 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
publishDate 2018
dc.date.none.fl_str_mv 2018-03-09T00:32:38Z
2018-03-09T00:32:38Z
2018-03-08
2018
2018-03-09T11:11:11Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/bookPart
format bookPart
status_str publishedVersion
dc.identifier.uri.fl_str_mv In: THOMAS, C. (Ed.). Ontology in information science. Rijeka: InTech, 2018. chap. 4, p. 83-104.
978-953-51-3888-4
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1088829
http://dx.doi.org/10.5772/67978
identifier_str_mv In: THOMAS, C. (Ed.). Ontology in information science. Rijeka: InTech, 2018. chap. 4, p. 83-104.
978-953-51-3888-4
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1088829
http://dx.doi.org/10.5772/67978
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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