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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
  • Cargo

    Investigador Sénior
  • Desde

    01 abril 1985
007
Publicações

2023

Getting in touch with metadata: a DDI subset for FAIR metadata production in clinical psychology

Autores
Castro, JA; Rodrigues, J; Mena Matos, P; M D Sales, C; Ribeiro, C;

Publicação
IASSIST Quarterly

Abstract
To address metadata with researchers it is important to use models that include familiar domain concepts. In the Social Sciences, the DDI is a well-accepted source of such domain concepts. To create FAIR data and metadata, we need to establish a compact set of DDI elements that fit the requirements in projects and are likely to be adopted by researchers inexperienced with metadata creation. Over time, we have engaged in interviews and data description sessions with research groups in the Social Sciences, identifying a manageable DDI subset. A recent Clinical Psychology project, TOGETHER, dealing with risk assessment for hereditary cancer, considered the inclusion of a DDI subset for the production of metadata that are timely and interoperable with data publication initiatives in the same domain. Taking a DDI subset identified by the data curators, we make a preliminary assessment of its use as a realistic effort on the part of researchers, taking into consideration the metadata created in two data description sessions, the effort involved, and overall metadata quality. A follow-up questionnaire was used to assess the perspectives of researchers regarding data description.

2023

From ISAD(G) to Linked Data Archival Descriptions

Autores
Koch, I; Pires, C; Lopes, CT; Ribeiro, C; Nunes, S;

Publicação
LINKING THEORY AND PRACTICE OF DIGITAL LIBRARIES, TPDL 2023

Abstract
Archives preserve materials that allow us to understand and interpret the past and think about the future. With the evolution of the information society, archives must take advantage of technological innovations and adapt to changes in the kind and volume of the information created. Semantic Web representations are appropriate for structuring archival data and linking them to external sources, allowing versatile access by multiple applications. ArchOnto is a new Linked Data Model based on CIDOC CRM to describe archival objects. ArchOnto combines specific aspects of archiving with the CIDOC CRM standard. In this work, we analyze the ArchOnto representation of a set of archival records from the Portuguese National Archives and compare it to their CIDOC CRM representation. As a result of ArchOnto's representation, we observe an increase in the number of classes used, from 20 in CIDOC CRM to 28 in ArchOnto, and in the number of properties, from 25 in CIDOC CRM to 28 in ArchOnto. This growth stems from the refinement of object types and their relationships, favouring the use of controlled vocabularies. ArchOnto provides higher readability for the information in archival records, keeping it in line with current standards.

2023

Moving from ISAD(G) to a CIDOC CRM-based Linked Data Model in the Portuguese Archives

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

Publicação
ACM JOURNAL ON COMPUTING AND CULTURAL HERITAGE

Abstract
Archives are facing numerous challenges. On the one hand, archival assets are evolving to encompass digitized documents and increasing quantities of born-digital information in diverse formats. On the other hand, the audience is changing along with how it wishes to access archival material. Moreover, the interoperability requirements of cultural heritage repositories are growing. In this context, the Portuguese Archives started an ambitious program aiming to evolve its data model, migrate existing records, and build a new archival management system appropriate to both archival tasks and public access. The overall goal is to have a fine-grained and flexible description, more machine-actionable than the current one. This work describes ArchOnto, a linked open data model for archives, and rules for its automatic population from existing records. ArchOnto adopts a semantic web approach and encompasses the CIDOC Conceptual Reference Model and additional ontologies, envisioning interoperability with datasets curated by multiple communities of practice. Existing ISAD(G)-conforming descriptions are being migrated to the new model using the direct mappings provided here. We used a sample of 25 records associated with different description levels to validate the completeness and conformity of ArchOnto to existing data. This work is in progress and is original in several respects: (1) it is one of the first approaches to use CIDOC CRM in the context of archives, identifying problems and questions that emerged during the process and pinpointing possible solutions; (2) it addresses the balance in the model between the migration of existing records and the construction of new ones by archive professionals; and (3) it adopts an open world view on linking archival data to global information sources.

2022

Linked Archives 2022 International Workshop - Preface

Autores
Lopes, CT; Ribeiro, C; Niccolucci, F; Villalón, MP; Freire, N;

Publicação
Proceedings of the 26th International Conference on Theory and Practice of Digital Libraries - Workshops and Doctoral Consortium, Padua, Italy, September 20, 2022.

Abstract
[No abstract available]

2022

Fostering the Adoption of DMP in Small Research Projects through a Collaborative Approach

Autores
Maciel, A; Castro, JA; Ribeiro, C; Almada, M; Midão, L;

Publicação
Int. J. Digit. Curation

Abstract
In order to promote sound management of research data the European Commission, under the Horizon 2020 framework program, is promoting the adoption of a Data Management Plan (DMP) in research projects. Despite the value of a DMP to make data findable, accessible, interoperable and reusable (FAIR) through time, the development and implementation of DMPs is not yet a common practice in health research. Raising the awareness of researchers in small projects to the benefits of early adoption of a DMP is, therefore, a motivator for others to follow suit. In this paper we describe an approach to engage researchers in the writing of a DMP, in an ongoing project, FrailSurvey, in which researchers are collecting data through a mobile application for self-assessment of fragility. The case study is supported by interviews, a metadata creation session, as well as the validation of recommendations by researchers. With the outline of our process we also outline tools and services that supported the development of the DMP in this small project, particularly since there were no institutional services available to researchers

Teses
supervisionadas

2023

Integration of models for linked data in cultural heritage and contributions to the FAIR principles

Autor
Inês Dias Koch

Instituição
UP-FEUP

2023

Research data description in multiple domains: supporting researchers with data management plans

Autor
Yulia Karimova

Instituição
UP-FEUP

2022

Integration of models for linked data in cultural heritage and contributions to the FAIR principles

Autor
Inês Dias Koch

Instituição
UP-FEUP

2022

Acessibilidade Web para deficientes visuais: uma análise de repositórios institucionais de universidades federais do Nordeste do Brasil

Autor
Aline Karoline da Silva Araújo

Instituição
UP-FEUP

2022

Research data description in multiple domains: supporting researchers with data management plans

Autor
Yulia Karimova

Instituição
UP-FEUP