Sobre
Mestre em Ciência da Informação, a frequentar o Programa Doutoral em Media Digitais.
O foco da dissertação é o desenvolvimento de modelos de metadados específicos para a descrição de dados de investigação.
Mestre em Ciência da Informação, a frequentar o Programa Doutoral em Media Digitais. O foco da dissertação é o desenvolvimento de modelos de metadados específicos para a descrição de dados de investigação.
Mestre em Ciência da Informação, a frequentar o Programa Doutoral em Media Digitais.
O foco da dissertação é o desenvolvimento de modelos de metadados específicos para a descrição de dados de investigação.
2019
Autores
Karimova, Y; Castro, JA; Ribeiro, C;
Publicação
Communications in Computer and Information Science - Digital Libraries: Supporting Open Science
Abstract
2018
Autores
Ribeiro, C; Rocha da Silva, J; Aguiar Castro, J; Carvalho Amorim, R; Correia Lopes, J; David, G;
Publicação
IASSIST Quarterly
Abstract
2018
Autores
Alves, C; Castro, JA; Ribeiro, C; Honrado, JP; Lomba, A;
Publicação
Proceedings of the International Conference on Dublin Core and Metadata Applications
Abstract
The diversity of research topics and resulting datasets in the field of Ecology (the scientific study of ecological systems and their biodiversity) has grown in parallel with developments in research data management. Based on a meta-analysis performed on 93 scientific references, this paper presents a comprehensive overview of the use of metadata tools in the Ecology domain through time. Overall, 40 metadata tools were found to be either referred or used by the research community from 1997 to 2018. In the same period, 50 different initiatives in ecology and biodiversity research were conceptualized and implemented to promote effective data sharing in the community. A relevant concern that stems from this analysis is the need to establish simple methods to promote data interoperability and reuse, so far limited by the production of metadata according to different standards. With this study, we also highlight challenges and perspectives in research data management in the domain of Ecology towards best practice guidelines.
2017
Autores
Castro, JA; Amorim, RC; Gattelli, R; Karimova, Y; Da Silva, JR; Ribeiro, C;
Publicação
Developing Metadata Application Profiles
Abstract
Research data are the cornerstone of science and their current fast rate of production is disquieting researchers. Adequate research data management strongly depends on accurate metadata records that capture the production context of the datasets, thus enabling data interpretation and reuse. This chapter reports on the authors' experience in the development of the metadata models, formalized as ontologies, for several research domains, involving members from small research teams in the overall process. This process is instantiated with four case studies: vehicle simulation; hydrogen production; biological oceanography and social sciences. The authors also present a data description workflow that includes a research data management platform, named Dendro, where researchers can prepare their datasets for further deposit in external data repositories. © 2017, IGI Global.
2017
Autores
Karimova, Y; Castro, JA; Da Silva, JR; Pereira, N; Ribeiro, C;
Publicação
Metadata and Semantic Research - Communications in Computer and Information Science
Abstract
Teses supervisionadas
2016
Autor
Yulia Karimova
Instituição
UP-FEUP
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