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Alejandra Gonzalez-Beltran

  • PhD
  • Research Lecturer
  • University of Oxford
  • 12h-indexImpact measure calculated using publication and citation counts. Updated daily.
  • 581CitationsNumber of citations received by Alejandra's publications. Updated daily.

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I am a Research Lecturer at the University of Oxford e-Research Centre, UK. My research focuses on developing methodologies and software tools for data science, including knowledge management and data analysis. I mainly deal with heterogeneous biological and biomedical data, within the context of the ISA infrastructure ( and the BioSharing initiative (, engaging with the communities developing standards supporting data sharing, re-use and science reproducibility and promoting their awareness and use. Before joining the University of Oxford, I was involved with the Computational and Systems Medicine project ( and the Department of Computer Science at University College London, collaborating, among others, with the National Cancer Research Institute (NCRI). Before that, I completed a PhD in Computer Science at Queen's University Belfast, and a Licentiateship, which would be equivalent to an MSc, in Computer Science at Universidad Nacional de Rosario, Argentina. I have been a member of the Cancer Research UK Stratified Medicine Programme Informatics Advisory Board, have worked as a consultant and I am available for discussing further consulting opportunities, do get in touch to discuss. I am co-chairing the Semantics, Analytics, Visualisation: Enhancing Scholarly Data (SAVE-SD 2016) that will be co-located with WWW2016. For more information, please see the workshop website: Specialties: software engineering, software development, ontologies/semantic web/linked data, data management, standards. OeRC: ORCID: figshare:

Co-authors (379)

  • IJsbrand Jan Aalbersberg
  • ashraf awad
  • See Wah Cheng

Publications (5)

  • The future of metabolomics in ELIXIR

    • Steinbeck C
    • van Rijswijk M
    • Beirnaert C
    Get full text
  • Comment: The FAIR Guiding Principles for scientific data management and stewardship

    • Wilkinson M
    • Dumontier M
    • Aalbersberg I
    Get full text
  • Data standards can boost metabolomics research, and if there is a will, there is a way

    • Rocca-Serra P
    • Salek R
    • Arita M
    Get full text
  • The health care and life sciences community profile for dataset descriptions

    • Dumontier M
    • Gray A
    • Marshall M
    Get full text
  • The Ontology for Biomedical Investigations

    • Bandrowski A
    • Brinkman R
    • Brochhausen M
    Get full text

Professional experience

Research Lecturer

University of Oxford

June 2012 - Present