Better data for better science.
We research and develop methods and tools to improve data reuse;
we work for data transparency, research integrity and the evolution of scholarly publishing.
We collaborate with organisations from all sectors, in the form of collaborative research,
contract research, and consultancy services.
Interests and Motivations
Working with and for researchers, service providers, journal publishers, library science
experts, funders and learned societies in the academic as well as in the commercial
and governmental setting, we ensure that data is Findable, Accessible, Interoperable and
Reusable (FAIR)
for humans as well as for machines.
Research and Development
With collaborators worldwide, we design and develop open source software, to improve
collection, representation, sharing and publication of multi-dimensional data. We also build
interoperability standards; we run informative, educational registries to enable data quality
and readiness, essential in Data Science.
Publications
Funded Projects
Teaching
The Use and Impact of our Work
Our FAIR Cookbook resource
of hands-on recipes for “FAIR doers” in the Life Sciences is built
openly and collaboratively with researchers and data managers professionals in academia,
(bio)pharmaceutical companies and information service industries; and it is already
recommended by funders.
Our FAIR-enabling, open source ISA software suite for metadata reporting is
embedded in over 30 public resources, institute-based
(e.g. USA NASA GeneLab Data Repository) and global repositories (e.g. EMBL-EBI MetaboLights),
as well as data-driven journals (e.g. Springer Nature Scientific Data).
Group Leader and Principal Investigator; and Director, Oxford e-Research Centre
Professor of Data Readiness, Department of Engineering Science
Academic Lead of Research Practice, University of Oxford
We are a team of data researchers, more specifically research software and knowledge engineers.
Our expertise and activities encompass: knowledge management, curation, software development,
text-mining, data and metadata standards, scholarly publishing, semantic web, machine learning
and creation and delivery of training and teaching elements.
Our backgrounds span computer science, to molecular biology, genetics, biomedical and
agro-engineering, the reason why we mainly (but not exclusively) operate in the life,
environmental and biomedical sciences.
We are looking for motivated DPhil/PhD students! If you have an interest in our areas of
activity, please contact Prof. Sansone with your CV and a project proposal.