Alejandra Gonzalez-Beltran
SSI fellow
University of Oxford
Interests
My interests revolve around software engineering and data science, knowledge management including ontologies/semantic web/linked data, data standards.
My work
I am a Research Lecturer at the Oxford e-Research Centre, which is a multi-disciplinary centre in the Engineering Science Department at the University of Oxford, UK.
My research focuses on developing methodologies, models and software tools for data science and scholarly communication, including knowledge management and data analysis. I mainly deal with heterogeneous biological and biomedical data, within the context of the ISA infrastructure and the FAIRsharing initiative, engaging with the communities developing standards supporting data sharing, re-use and science reproducibility and promoting their awareness and use.
I am a member of the Research Reproducibility Oxford project, via which I became a Carpentries instructor. I am now following the Instructor Trainer Training.
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 am one of the co-chairs of the Semantics, Analytics, Visualisation: Enhancing Scholarly Data (SAVE-SD) that has run for three editions and has been co-located with the WWW international conference. In addition, I contribute to the W3C Dataset Exchange Working Group.
Online Presence
Follow me on Twitter @alegonbel
Check out contributions by and mentions of Alejandra Gonzalez-Beltran on www.software.ac.uk
Read posts on this website by Alejandra
Best Practices for Software Registries and Repositories
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Wishlists for the future of RSE: Outcomes from the RSLondonSouthEast 2020 Discussion Session
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Evidence for the importance of research software
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