Cookies
Usamos cookies para melhorar nosso site e a sua experiência. Ao continuar a navegar no site, você aceita a nossa política de cookies. Ver mais
Aceitar Rejeitar
  • Menu
Sobre

Sobre

Investigadora no projeto "TAIL" - Research Data Management. Prepare and describe data for sharing and re-use.

Tenho licenciatura em Matematica e Informática, Mestrado em Ciencias de Informação.

Meus interesses atuais da investigação ligados à gestão de dados de investigação, vocabulários controlados, descrição de dados, qualidade de metadados, colaboração com investigadores de otros domínios com o objetivo de motivar e promover a descrição  e partilha de dados de investigação com através de plataforma de gestão de dados Dendro e repositório de dados de investigação CKAN-INESC TEC e CKAN-UP,  além disto realizo testes de funcionamento destes plataformas.

Tópicos
de interesse
Detalhes

Detalhes

001
Publicações

2019

Data Deposit in a CKAN Repository: A Dublin Core-Based Simplified Workflow

Autores
Karimova, Y; Castro, JA; Ribeiro, C;

Publicação
Communications in Computer and Information Science - Digital Libraries: Supporting Open Science

Abstract

2017

Involving data creators in an ontology-based design process for metadata models

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

Promoting Semantic Annotation of Research Data by Their Creators: A Use Case with B2NOTE at the End of the RDM Workflow

Autores
Karimova, Y; Castro, JA; Da Silva, JR; Pereira, N; Ribeiro, C;

Publicação
Metadata and Semantic Research - Communications in Computer and Information Science

Abstract

2017

Description + annotation: Semantic data publication workflow with Dendro and B2NOTE

Autores
Karimova, Y; Castro, JA; Da Silva, JR; Pereira, N; Rodrigues, J; Ribeiro, C;

Publicação
International Journal of Metadata, Semantics and Ontologies

Abstract
Metadata puts research data in their context, making data intelligible and apt to sustain technology evolution and to be reused, in compliance with the FAIR principles. The workflow proposed in this work includes metadata generation in the context of research projects, created with the Dendro platform, and metadata originated in the interaction of people with the deposited data, created with the B2NOTE service from EUDAT. In our experiments, datasets are prepared with Dendro, taking into consideration general-purpose descriptors and domain-specific ones, then transparently deposited in B2SHARE. After publication, B2NOTE provides an environment where authors, other researchers, and any interested party can enrich the description with less formal comments, tags or keywords. This work contributes with (a) a set of use cases in several domains, (b) details on the descriptors used by authors in each case, and (c) reflections on the use of data after publication, using the B2NOTE contributions. © Copyright 2017 Inderscience Enterprises Ltd.