Uma proposta de taxonomia para dados de pesquisa

Sales, Luana-Farias and Sayão, Luís-Fernando Uma proposta de taxonomia para dados de pesquisa., 2019 . In ISKO Ibérico 2019, Barcelona, Catalonia, Spain, 11-12 July 2019. (Submitted) [Conference paper]

Preview	Text ISKO IBERICO- E-LIS.pdf - Submitted version Available under License Creative Commons Attribution. Download (271kB) | Preview
	Text ISKO IBERICO- E-LIS.docx - Submitted version Available under License Creative Commons Attribution. Download (127kB)

English abstract

In the context of contemporary research, research data ceases to be mere by-products of research activities and resurgence as protagonists in the search for new knowledge. This example is driven by the digital technologies that create conditions for the emergence of a large volume of data, the scientific process and the research process based on the collection, generation, processing and analysis of mass data of the databases. Researchers, academic institutions, policy makers, and development agencies initiate what research data is managed and the informational resources that can be shared and reused as input for further research. However, the data, different from the publications, are heterogeneous, diversified, generated for different purposes, by different technologies and in specific disciplinary domains. It is observed that there are terminological gaps that make information management difficult. From this point, the present paper accepts the challenge of evaluating the taxonomy for the classification of research data types, the anchoring in the theoretical-methodological approach of the Knowledge Organization.

Portuguese abstract

No contexto da ciência contemporânea, os dados de pesquisa deixam de ser meros subprodutos das atividades de pesquisa e ressurgem como protagonistas na busca por novos conhecimentos. Esse fenômeno é impulsionado pelas tecnologias digitais que criam as condições para o surgimento de um genuíno big data, científico e engendram processos de pesquisa baseados na coleta, geração, processamento e análise de massivas quantidades de dados estruturados em bases de dados. Os pesquisadores, instituições acadêmicas, formuladores de políticas científicas e agências de fomento começam a compreender que os dados de pesquisa se bem gerenciados se tornam recursos informacionais imprescindíveis que podem ser compartilhados e reusados como input para novas pesquisas. Entretanto, os dados, diferentes das publicações, são heterogêneos, diversificados, gerados para diferentes propósitos, por diferentes tecnologias e em domínios disciplinares específicos. Observa-se que há uma lacuna terminológica que dificulta a gestão desses ativos informacionais. Partindo desse ponto, o presente trabalho, aceita o desafio de propor uma taxonomia para a classificação de tipos de dados de pesquisa, ancorado na abordagem teórico-metodológico da Organização do Conhecimento.

Item type:	Conference paper
Keywords:	Taxonomy; Taxonomia; Research data; Dados de pesquisa; Tipos de dados.
Subjects:	I. Information treatment for information services > ID. Knowledge representation. I. Information treatment for information services > IE. Data and metadata structures. I. Information treatment for information services > IL. Semantic web
Depositing user:	Luana Sales
Date deposited:	11 Jun 2019 07:01
Last modified:	11 Jun 2019 07:04
URI:	http://hdl.handle.net/10760/38366

References

Berlin. (2003) Declaration on open access to knowledge in the sciences and humanities. Berlin, 2003.

http://www.zim.mpg.de/openaccess-berlin/berlin_declaration.pdf

Borgman, C. L (2010). Research data : who will share what, with whom, when an why. Rratswd working paper 161(10).

http://sydney.edu.au/research/data_policy/resources/ands_borgman_2010_research_data.pdf

Buckland, Michael K (1991). Information as thing. Journal of the american society for information science, 42(5), 351-360.

Dahlberg, I (1978). A referent-oriented analytical concept theory of interconcept. International classification, frankfurt, 5(3), 142-150.

D-lib magazine. (2011).

http://www.dlib.org/dlib/january11/01contents.html

D-lib magazine (2014).

http://www.dlib.org/dlib/january14/01editorial.html

Harvey, Douglas Ross. Digital curation: a how-to-do-it manual. London:Facet, 2010.

Lyon, Liz (2007). Dealing with data; role, rigths, responsabilities and relationships. Consultancy report. 1-65.

http://opus.bath.ac.uk/412/1/dealing_with_data_report-final.pdf

National Research Council – NRC (1999). A question of balance: private rights and the public interest in scientific and technical databases. Washington, dc: National Academy Press. 1999.

http://www.nap.edu

National Science Foundation – NSF (2007). Cyberinfrastructure vision for 21st century discovery.

http://escience.caltech.edu/workshop/ci_vision_march07.pdf

Organização para a cooperação e desenvolvimento econômico – OCDE (2007). Principles and guidelines for access to research data from public data. 2007.

http://www.oecd.org/dataoecd/9/61/38500813.pdf

Souza, Rosali Fernandez de (2012). Universo de ciência e tecnologia: organização e representação em classificações do conhecimento. In: Encontro Nacional de Pesquisa em Ciência da Informação - ENANCIB, 13. Rio de Janeiro, 2012.

http://www.eventosecongressos.com.br/metodo/enancib2012/arearestrita/pdfs/19371.pdf

Wüster, E. (1981) L’étude scientifique qénérale de la terminologie, zone frontalière entre la linguistique, la logique, l’ontologie, l’informatique et les sciences des chose. In: rondeau, g.; felber, e. (org.). Textes choisis de terminologie. Québec: girserm, 1981, p. 57-114. (Fondéments théoriques de la terminologie, v. I).

Downloads

Actions (login required)

View Item