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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

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.

2019

Hands-On Data Publishing with Researchers: Five Experiments with Metadata in Multiple Domains

Authors
Rodrigues, J; Castro, JA; da Silva, JR; Ribeiro, C;

Publication
Communications in Computer and Information Science

Abstract
The current requirements for open data in the EU are increasing the awareness of researchers with respect to data management and data publication. Metadata is essential in research data management, namely on data discovery and reuse. Current practices tend to either leave metadata definition to researchers, or to assign their creation to curators. The former typically results in ad-hoc descriptors, while the latter follows standards but lacks specificity. In this exploratory study, we adopt a researcher-curator collaborative approach in five data publication cases, involving researchers in data description and discussing the use of both generic and domain-oriented metadata. The study shows that researchers working on familiar datasets can contribute effectively to the definition of metadata models, in addition to the actual metadata creation. The cases also provide preliminary evidence of cross-disciplinary descriptor use. Moreover, the interaction with curators highlights the advantages of data management, making researchers more open to participate in the corresponding tasks. © Springer Nature Switzerland AG 2019.

2019

Ranking Dublin Core descriptor lists from user interactions: a case study with Dublin Core Terms using the Dendro platform

Authors
da Silva, JR; Ribeiro, C; Lopes, JC;

Publication
International Journal on Digital Libraries

Abstract
Dublin Core descriptors capture metadata in most repositories, and this includes recent repositories dedicated to datasets. DC descriptors are generic and are being adapted to the requirements of different communities with the so-called Dublin Core Application Profiles that rely on the agreement within user communities, taking into account their evolving needs. In this paper, we propose an automated process to help curators and users discover the descriptors that best suit the needs of a specific research group in the task of describing and depositing datasets. Our approach is supported on Dendro, a prototype research data management platform, where an experimental method is used to rank and present DC Terms descriptors to the users based on their usage patterns. User interaction is recorded and used to score descriptors. In a controlled experiment, we gathered the interactions of two groups as they used Dendro to describe datasets from selected sources. One of the groups viewed descriptors according to the ranking, while the other had the same list of descriptors throughout the experiment. Preliminary results show that (1) some DC Terms are filled in more often than others, with different distribution in the two groups, (2) descriptors in higher ranks were increasingly accepted by users in detriment of manual selection, (3) users were satisfied with the performance of the platform, and (4) the quality of description was not hindered by descriptor ranking. © 2018 Springer-Verlag GmbH Germany, part of Springer Nature

Supervised
thesis

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

2019

Descrição de dados de investigação: requisitos de investigadores para modelos de metadados na Psicologia e Ciências da Educação

Author
Laura Mafalda Carvalho Lopes

Institution
UP-FEUP

2019

Estudo de Mapeamento entre a ISAD/ISAAR e o Modelo CIDOC-CRM para a Descrição de Objetos Culturais da Torre do Tombo

Author
Inês Dias Koch

Institution
UP-FEUP

2019

Metadados para o uso de ferramentas de gestão de dados de investigação com investigadores do I3S

Author
Marcelo da Costa Sampaio

Institution
UP-FEUP