Susanna-assunta Sansone
Director, Oxford E-Research Centre at University of Oxford
Oxford, England, United Kingdom
Summary
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Senior🎓
Top SchoolSusanna-assunta Sansone is a Professor of Data Readiness and Director of the Oxford e-Research Centre with 15+ years’ experience driving standards, interoperability and reproducible research across academia, government and industry. As Academic Lead for Research Practice at the University of Oxford and founding academic editor of Scientific Data, she blends hands-on technical leadership with strategic policy work to make data, software and workflows more discoverable and reusable. Co-author of the FAIR Principles, she leads multi‑partner projects (RCUK, EC, NIH collaborations, ELIXIR UK) and serves on international task forces shaping FAIR metrics and digital object stewardship. Her group focuses on data quality and readiness for reuse, applying semantic web and ontology approaches to real-world scholarly communication problems. She consults for Springer Nature and sits on boards including Dryad and the Research Data Alliance, bringing both deep domain expertise and practical implementation experience. Notably, her career bridges molecular biology roots with informatics leadership, giving her a rare perspective on both experimental provenance and large-scale data infrastructures.
15 years of coding experience
15 years of employment as a software developer
PhD, Molecular Biology, PhD, Molecular Biology at Imperial College LondonBiology, Biology at Università degli Studi di Napoli 'Federico II'
Italian, French, English
Github Skills (20)
cookbook10
data-science10
science10
machine-learning9
surface-duo9
recall8
mason7
ecm7
metric4
api-documentation3
ajv3
json3
json-schema3
comparator2
browser1
Programming languages (6)
Github contributions (5)
FAIRsharing/Sansone-Group-Website
May 2019 - Jan 2024
The website hosted at https://datareadiness.eng.ox.ac.uk/
Contributions:9 PRs, 15 pushes, 15 branches in 4 years 8 months
hostedjekylleng
SusannaSansone/the-turing-way
May 2019 - May 2019
Host repository for The Turing Way: a how to guide for reproducible data science
Contributions:4 PRs, 18 pushes, 1 branch in 1 day
how-to-guidesciencehostdata-sciencemachine-learning
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