| Zdroj: |
Moraes, Humberto Antônio Ribas and Zafalon, Zaira-Regina Records in Contexts: análise da proposta de um padrão internacional integrado de descrição arquivística., 2018 . In XIX Encontro Nacional de Pesquisa em Ciência da Informação, Londrina, Paraná, 22 a 26 de outubro de 2018. [Conference paper] |
| Popis: |
In view of the applications of information and communication technology in processes of archival description, interoperability and cooperation between registries, there is a need to re-evaluate the internationally recognized standards of archival description. To this end, the International Council on Archives proposes Records in Contexts, a conceptual model of archival description identified as RiC-CM. Faced with the question "to what extent does the RiC-CM meet the requirements of archival description according to the public consultation of the archival community?" the general objective of the research is to explore the adherence of the RiC-CM according to the conceptual, methodological and practical aspects of the archival description indicated by the archival community and to explore the RiC-CM as specific objectives; analyze the AtoM software; evaluate the manifestations of the archival community in response to the public consultation with RiC-CM. As methodological procedures, the qualitative approach is applied, with an exploratory and descriptive purpose and uses bibliographic and documentary procedures. As a result, the RiC-CM needs a considerable amount of adjustments in the approaches to methodology, project development, inclusion, transparency, comprehensiveness and technology, although the ICA initiative proposes a fill a gap regarding the standardization of archival description be commendable. It is understood that the RiC, despite all the criticisms, is making possible a discussion about the current ICA norms and awakens to the necessity of having a standard that, at world level, meets the needs of archivists, regardless of language or country, and which aims at the application of the linked open data. |
