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Sobre
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Sobre

Concluí o Doutoramento em Informática na Universidade Nova de Lisboa em 1994.

Sou atualmente Professor Associado do Departamento de Engenharia Informática da Faculdade de Engenharia da Universidade do Porto, onde leciono na área das bases de dados, armazéns de dados, preservação digital e matemática discreta.

Participei na criação do Programa de Doutoramento em Informática (MAP-i) conjunto das Universidades do Minho, Aveiro e Porto, fazendo parte da Comissão Científica desde 2007. Participei na criação do Mestrado em Gestão da Informação (1997) e da Licenciatura em Ciência da Informação (2001), programas conjuntos das Faculdades de Engenharia e de Letras, e integro as respetivas comissões científicas.

Sou membro do Conselho Científico da Faculdade de Engenharia desde 2010.

Dirigi a equipa de desenvolvimento do SIGARRA (sistema de informação académico da UPorto) entre 1996 e 2010.

Sou investigador do INESC TEC desde 1985, fazendo parte da sua Administração desde 2015. Os meus principais interesses de investigação são nas áreas da gestão de informação, da preservação digital e das bases de dados. Coordenei os projetos FCT DBPreserve, sobre preservação de bases de dados; Gulbenkian APDIC, sobre planos de preservação digital, e EEA Grant SeaBioData. Atualmente integro o projeto FCT TAIL, sobre gestão de dados de investigação.

Participei entre 2000 e 2010 no projeto de Cooperação com a Universidade Nacional de Timor Leste, tendo sido o coordenador do curso de Engenharia Informática entre 2006 e 2010.

Sou membro da Ordem dos Engenheiros onde integrei o Conselho de Admissão e Qualificação, entre 2010 e 2016.

Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    Gabriel David
  • Cluster

    Informática
  • Cargo

    Administrador Executivo
  • Desde

    01 abril 1985
012
Publicações

2019

Planning and managing data for Smart Cities: An application profile for the UrbanSense project

Autores
Dias, P; Rodrigues, J; Aguiar, A; David, G;

Publicação
2018 IEEE International Smart Cities Conference, ISC2 2018

Abstract
Aiming to improve sustainability and life quality, urban space research is prompting an intensive use of communication and information technologies. With it, researchers are also facing more challenges regarding research data management and therefore seeking clear guidelines and tools for proper data organization, sharing and reuse. In the context of a smart cities research project, UrbanSense, held in the city of Porto, we proposed a data management plan, to support researchers from the moment they start to collect data up to the point of data publication. We also developed an ontology for the description of smart cities data, validated by UrbanSense researchers. Descriptions based on this ontology were evaluated by external parties, after the data was published in an institutional data repository. © 2018 IEEE.

2018

Digital Libraries for Open Knowledge, 22nd International Conference on Theory and Practice of Digital Libraries, TPDL 2018, Porto, Portugal, September 10-13, 2018, Proceedings

Autores
Méndez, E; Crestani, F; Ribeiro, C; David, G; Lopes, JC;

Publicação
TPDL

Abstract

2018

Research Data Management Tools and Workflows: Experimental Work at the University of Porto

Autores
Ribeiro, C; Rocha da Silva, J; Aguiar Castro, J; Carvalho Amorim, R; Correia Lopes, J; David, G;

Publicação
IASSIST Quarterly

Abstract
Research datasets include all kinds of objects, from web pages to sensor data, and originate in every domain. Concerns with data generated in large projects and well-funded research areas are centered on their exploration and analysis. For data in the long tail, the main issues are still how to get data visible, satisfactorily described, preserved, and searchable. Our work aims to promote data publication in research institutions, considering that researchers are the core stakeholders and need straightforward workflows, and that multi-disciplinary tools can be designed and adapted to specific areas with a reasonable effort. For small groups with interesting datasets but not much time or funding for data curation, we have to focus on engaging researchers in the process of preparing data for publication, while providing them with measurable outputs. In larger groups, solutions have to be customized to satisfy the requirements of more specific research contexts. We describe our experience at the University of Porto in two lines of enquiry. For the work with long-tail groups we propose general-purpose tools for data description and the interface to multi-disciplinary data repositories. For areas with larger projects and more specific requirements, namely wind infrastructure, sensor data from concrete structures and marine data, we define specialized workflows. In both cases, we present a preliminary evaluation of results and an estimate of the kind of effort required to keep the proposed infrastructures running.  The tools available to researchers can be decisive for their commitment. We focus on data preparation, namely on dataset organization and metadata creation. For groups in the long tail, we propose Dendro, an open-source research data management platform, and explore automatic metadata creation with LabTablet, an electronic laboratory notebook. For groups demanding a domain-specific approach, our analysis has resulted in the development of models and applications to organize the data and support some of their use cases. Overall, we have adopted ontologies for metadata modeling, keeping in sight metadata dissemination as Linked Open Data.

2015

Database Preservation: The DBPreserve Approach

Autores
Ur, A; Muzammal, M; David, G; Ribeiro, C;

Publicação
International Journal of Advanced Computer Science and Applications - ijacsa

Abstract

2015

Database Preservation: The DBPreserve Approach

Autores
Rahman, AU; Muzammal, M; David, G; Ribeiro, C;

Publicação
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS

Abstract
In many institutions relational databases are used as a tool for managing information related to day to day activities. Institutions may be required to keep the information stored in relational databases accessible because of many reasons including legal requirements and institutional policies. However, the evolution in technology and change in users with the passage of time put the information stored in relational databases in danger. In the long term the information may become inaccessible when the operating system, database management system or the application software is not available any more or the contextual information not stored in the database may be lost thus affecting the authenticity and understandability of the information. This paper presents an approach for preserving relational databases for the long-term. The proposal involves migrating a relational database to a dimensional model which is simple to understand and easy to write queries against. Practical transformation rules are developed by carrying out multiple case studies. One of the case studies is presented as a running example in the paper. Systematic implementation of the rules ensures no loss of information in the process except for the unwanted details. The database preserved using the approach is converted to an open format but may be reloaded to a database management system in the long-term.

Teses
supervisionadas

2019

Citation of Dynamic Data

Autor
William Norio Fukunaga

Instituição
UP-FEUP

2019

Método de Elaboração de um Plano de Preservação Digital

Autor
Carla Krause

Instituição
UP-FEUP

2019

Implementação do Repositório Clínico Digital (RCD) do CHUSJ: análise de processos e dinâmica informacional do Serviço de Arquivo

Autor
Raquel dos Santos Aleixo

Instituição
UP-FEUP

2019

Políticas de Copyright de Publicações Científicas em Repositórios Institucionais: O Caso do INESC TEC

Autor
Soraia Teixeira Ramos

Instituição
UP-FEUP

2018

iPortalDoc  - Motor de Workflow

Autor
Sérgio André Oliveira de Lima Moreira

Instituição
UP-FEUP