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.
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.
Designed by 53 international leaders, our work on the FAIR Principles have influenced research data policies, especially at UK and European level, and rapidly been adopted worldwide by publishers, funders (USA NIH), infrastructure programmes (e.g. ELIXIR, EOSC) and societies (e.g. RDA).
Our FAIR-enabling, open source metadata reporting ISA software suite 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).
Our FAIRsharing resource on standards, repositories, and data policies is endorsed by a growing number of stakeholder communities, including major publishers (e.g. Wiley, Elsevier and EMBO Press), funders (e.g. Wellcome Trust), libraries and FAIR-supporting organizations (e.g. RDA, GO-FAIR).
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.
Alumni and Students (from 2010)
Research Software Engineer
Knowledge Engineer
Research Software Engineer
Announcements for our projects are usually made on Twitter; various of our feeds are shown below:
