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Sobre

Sobre

Sou Professora Associada no Departamento de Engenharia Informática da FEUP, Universidade do Porto, e investigadora senior do INESC TEC. Colaborei e fui responsável por projetos nas áreas do património cultural, bases de dados multimédia, recuperação de informação e otimização combinatória. Supervisionei 9 dissertações de doutoramento e 33 de mestrado. Fui responsável técnica do laboratório SAPO/U.Porto durante 5 anos. A minha atividade de ensino desenvolve-se na Engenharia Informática e na Ciência da Informação. A gestão de dados de investigação está no centro da minha atividade de investigação atual. Sou investigadora principal do projeto TAIL (FCT/POCI), que desenvolve ferramentas e métodos para a publicação de dados de investigação e responsável pelo piloto DataPublication@U.Porto da iniciativa europeia EUDAT. Sou membro do Grupo de Trabalho para a Política Nacional da Ciência Aberta da SECTES. Os meus interesses de investigação incluem a recuperação de informação, a preservação digital e a representação de conhecimento.

Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    Cristina Ribeiro
  • Cluster

    Informática
  • Cargo

    Investigador Sénior
  • Desde

    01 abril 1985
007
Publicações

2021

Report on the 1st linked archives international workshop (LinkedArchives 2021) at TPDL 2021

Autores
Lopes, CT; Ribeiro, C; Niccolucci, F; Rodrigues, IP; Antunes Freire, NM;

Publicação
SIGIR Forum

Abstract

2021

Institutional support for data management plans: case studies for a systematic approach

Autores
Karimova, Y; Ribeiro, C; David, G;

Publicação
Int. J. Metadata Semant. Ontologies

Abstract
Researchers have to ensure that their projects comply with Research Data Management (RDM) requirements. Consequently, the main funding agencies require Data Management Plans (DMPs) for grant applications. So, institutions are investing in RDM tools and implementing RDM workflows in order to support their researchers. In this context, we propose a collaborative DMP-building method that involves researchers, data stewards and other parties if required. This method was applied as part of an RDM workflow in research groups across several scientific domains. We describe it as a systematic approach and illustrate it through a set of case studies. We also address the DMP monitoring process during the life cycle of projects. The feedback from the researchers highlighted the advantages of creating DMPs and their growing need. So, there is motivation to improve the DMP support process according to the machine-actionable DMPs concept and to the best practices in each scientific community. © 2021 Inderscience Enterprises Ltd.. All rights reserved.

2020

ArchOnto, a CIDOC-CRM-Based Linked Data Model for the Portuguese Archives

Autores
Koch, I; Ribeiro, C; Lopes, CT;

Publicação
Digital Libraries for Open Knowledge - 24th International Conference on Theory and Practice of Digital Libraries, TPDL 2020, Lyon, France, August 25-27, 2020, Proceedings

Abstract

2020

Evaluating the Quality of an Online Course in Information Literacy Applied to Engineering Students

Autores
Ramos, TO; Morais, C; Ribeiro, C;

Publicação
Handbook of Research on Determining the Reliability of Online Assessment and Distance Learning

Abstract
An academic library created an online course in information literacy skills in 2007 for engineering students. This chapter reports the evaluation of the course's effectiveness in developing those skills. In the academic year 2015/2016, a case study with a mixed-methods approach was applied to 5th-year students (N=91) enrolled in a course unit for Master Dissertation's preparation in the informatics and computing engineering programme. Students showed high confidence in their information literacy skills. Online assignments' performance was good, but activities revealed quality issues. Performance in the course unit's assignments reveals a poor application of acquired skills. But satisfaction is high: students value independent learning and online access to resources and content. Despite evidence of some positive impact, the course lacks effectiveness due to issues in the course unit's assignments. Needed improvements include a better realignment with students' needs and a redesign with an instructional model to assure the promotion of students' success.

2020

Institutional Support for Data Management Plans: Five Case Studies

Autores
Karimova, Y; Ribeiro, C; David, G;

Publicação
Metadata and Semantic Research - 14th International Conference, MTSR 2020, Madrid, Spain, December 2-4, 2020, Revised Selected Papers

Abstract

Teses
supervisionadas

2021

Automation of Enterprise Architecture Discovery based on Event Mining from API Gateway logs

Autor
Carlos Pinheiro

Instituição
UTAD

2021

Análise de oferta de serviços na área de consultoria informática

Autor
Pedro Manuel Almeida Roseira

Instituição
UP-FEUP

2021

Analytical Tweezers for cell manipulation and diagnostic

Autor
Inês Alves Carvalho

Instituição
UP-FCUP

2021

Urban transport evaluation using knowledge extracted from social media

Autor
Francisco André Barreiros Murços

Instituição
UP-FEUP

2021

Os consumidores millennials de marcas de luxo: quais as suas especificidades e diferenças?

Autor
Alexandra Oliveira Frade

Instituição
UP-FEP