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About

I am an Associate Professor with the Department of Informatics Engineering of FEUP, University of Porto, and a senior researcher at INESC TEC. I have collaborated on and been in charge of projects in the areas of cultural heritage, multimedia databases, information retrieval and combinatorial optimisation. I have supervised 9 PhD and 33 MSc dissertations. I was the technical leader of the SAPO/U.Porto extension laboratory for 5 years. My teaching activities include courses in the Informatics Engineering and Information Science programmes. Research Data Management is the core of my current research activity. I am the PI of TAIL (FCT/POCI), on research data management workflows for data publication, and I lead the DataPublication@U.Porto pilot in the EUDAT european initiative. I am a member of the Working Group for the National Policy on Open Science with SECTES. My research interests include information retrieval, digital preservation and knowledge representation.

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007
Publications

2021

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

Authors
Oliveira Ramos, T; Morais, C; Ribeiro, C;

Publication
Handbook of Research on Determining the Reliability of Online Assessment and Distance Learning - Advances in Mobile 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.

2021

Institutional Support for Data Management Plans: Five Case Studies

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

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

Abstract

2020

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

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

Publication
Digital Libraries for Open Knowledge - Lecture Notes in Computer Science

Abstract

2019

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

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

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

Abstract

2019

Interplay of Documents' Readability, Comprehension and Consumer Health Search Performance Across Query Terminology

Authors
Lopes, CT; Ribeiro, C;

Publication
Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, CHIIR 2019, Glasgow, Scotland, UK, March 10-14, 2019

Abstract
Because of terminology mismatches, health consumers frequently face difficulties while searching the Web for health information. Difficulties arise in query formulation but also in understanding the retrieved documents. In this work we analyze how documents' readability affects users' comprehension and how both affect the retrieval performance, measured in different ways. In addition, we analyze how performance measures relate with each other. For this purpose we have conducted a laboratory user study with 40 participants. We found that readability is essential for a document to be at least partially relevant and that it becomes even more important if the document has medico-scientific terminology. Moreover, the relevance of a document to a specific user highly depends on its comprehension. In lay queries we found the medical accuracy of users' answers is related to the session's relevance assessments. This shows that users can, at least in part, relate their relevance assessments with the medical accuracy of the documents. On the other hand, this relationship does not exist with medico-scientific queries. © 2019 Copyright held by the owner/author(s). Publication rights licensed to Association for Computing Machinery.

Supervised
thesis

2020

Engaging researchers in research data management: creating metadata models for multi-domain dataset description

Author
João Daniel Aguiar de Castro

Institution
UP-FEUP

2020

Aplicação das recomendações da Research Data Alliance em grupos de investigação portugueses

Author
Jéssica Alexandra Lopes Barbosa

Institution
UP-FEUP

2020

Plano de gestão de dados para a produção de dados FAIR: O caso de uso FRAILSURVEY

Author
André Filipe da Costa Maciel

Institution
UP-FEUP

2019

Application of the LabTablet app in a laboratory environment: Case study I3S

Author
Ana Luís da Costa Ferreira

Institution
UP-FEUP

2019

DendroShare: Partilha e citação de conjuntos de dados de investigação

Author
Lázaro Gabriel Barros da Costa

Institution
UP-FEUP