Professor Susanna-Assunta Sansone completed a Diploma (1997) and PhD (2000) in Molecular Biology in the Faculty of Medicine, St Mary’s Hospital, of the Imperial College of Science, Technology and Medicine in London.
In 1999, she joined an Imperial spin off (Microscience Ltd. now Emergent BioSolutions, Inc.) to work as a Senior Scientist on the molecular characterization of a vaccine strain. In 2001, she moved to the European Molecular Biology Laboratory's European Bioinformatics Institute (EMBL-EBI, Cambridge) where she worked as a Project and Team Coordinator and Principal Investigator in research data management.
Susanna moved to Oxford in October 2010 as Principal Investigator at the Oxford e-Research Centre, and in 2013 she was appointed to her current position of Associate Director. Since 2012 she is also a consultant for Nature Research Group at Springer Nature, and the founding editor of its Scientific Data journal.
Listen to Susanna describing her group work in this 1 minute video.
The work undertaken by Professor Susanna-Assunta Sansone's group focuses around the areas of knowledge and information management, and interoperability of applications, mainly (but not exclusively) operating in the life, environmental and biomedical sciences. They are interested in data reproducibility and the evolution of scholarly publishing, which drive science and discoveries.
More specifically, the group investigates and implements new ways to make digital research objects (including data, software, model and workflows) Findable, Accessible, Interoperable and Reusable, in one other word: FAIR.
In this modern, data-driven age, governments, funders and publishers expect greater transparency and reuse of research data, as well as greater access to and preservation of the data that supports research findings. This requires greater researcher responsibility for the produced data, which should result in greater confidence in, and the reuse of, existing data.
With her team of data engineers (research software and knowledge engineers), Susanna-Assunta collaborates with researchers in academic, governmental and commercial settings, informatics professionals, service providers, learned societies, precompetitive informatics initiatives, library science experts, journal editors, funders and policymakers worldwide, to:
Funded by the UK Research Councils and the Wellcome Trust, the European Commission, the USA National Institutes of Health and pharmas, they have international collaborations and a diverse network, which have enabled them to successfully deliver useful and impactful resources, including:
The group's outputs are embedded in major research and infrastructure programme and initiatives, such as ELIXIR and the ELIXIR-UK, European Open Science Cloud (EOSC), Research Data Alliance (RDA), NIH Data Commons, and GOFAIR.
2019-2023 Wellcome Trust “FAIRsharing service: supporting the research life cycle”
Development of a high-quality service to accelerate discovery, selection and use of repositories, standards, policies; increasing their producers’ satisfaction in terms of visibility, reuse and citations of the resources, and consumers guidance.
2019-2023 EC H2020 “EOSC-Life: infrastructure for life science data”
A joint project between 39 institutions (leading major Europe’s biological and medical sciences’ research infrastructures) to achieve a shared vision of an open collaborative digital space for European Life Science and biomedical scientists.
2019-2022 EC and EFPIA IMI “FAIRplus”
Joint project with ELIXIR Hub, several Nodes and pharmas (AstraZeenca, Janssen, Eli Lilly, GSK, Novartis, Bayer and Boehringer Ingelheim) to develop guidelines and tools to make data findable, accessible, interoperable and reusable, according to the FAIR principles.
2018-2021 Wellcome Trust “ISA and InterMine: accelerating and rewarding data sharing”
A joint project to further develop and combine ISA and InterMine into an integrated system implementing a workflow to incentivise metadata collection, and the ability to automatically find, collect, integrate, reuse and publish data.
2018-2019 ELIXIR Hub “Data FAIRification”
Funded by the ELIXIR Hub, this implementation study enable the engagement with other ELIXIR Nodes to define and improve the level of FAIRness of the ELIXIR Core Data resources.
2018-2019 ELIXIR Hub “Data Validation”
Funded by the ELIXIR Hub, this implementation study enables the engagement with other ELIXIR Nodes to define rules and methods for validation datasets against community metadata standards.
A joint center with University of Maryland tasked to help the NIH coordinating the activities of the Data Commons Pilot Phase Consortium (DCPPC), set to accelerate new biomedical discoveries by making the digital products of biomedical research FAIR.
A collaboration between Mount Sinai, Miami, Maastricht, Oxford universities and Deloitte Consulting, this project will pilot several efforts to bring the FAIR principles into practice for biological and biomedical resources.
A collaboration between UCSD, Texas, Michigan and Oxford universities, this project will pilot the implementation of policies and best practices for privacy protection and security of data in a index and search engine.
Part of Europe’s largest public-private initiative, this consortium of pharmas and academics works to identify druggable targets modulating misfolded proteins in Alzheimer’s and Parkinson’s diseases.
Coordinated by the ELIXIR Hub, the project involves 46 partners from 17 countries to help ELIXIR coordinate and extend national and international data resources and ensure the delivery of world-leading data services, supporting all sectors of life science R&D.
A joint project with the BBSRC Earlham Institute, with contributions from the EBI and York, to develop a collaborative platform providing tools and training to both life and computer scientists in the plant bioscience field.
Susanna's full listing of research papers are available on Google Scholar.
Wilkinson, Sansone, Schultes et al. A design framework and exemplar metrics for FAIRness. Sci Data 2018 Jun 26;5.
Ohno-Machado, Sansone, Alter, et al. DataMed: Finding useful data across multiple biomedical data repositories. Nat Genet. 2017 May 26;49(6):816-819.
Wilkinson, Dumontier, Aalbersberg et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 2016 Mar 15;3.
Baker, Klemm, Harper, Gaheen, Heiskanen, Rocca-Serra and Sansone. Standardizing data. Nat Nanotechnol. 2013 Feb;8(2).
Sansone, Rocca-Serra, Field D et al. Toward interoperable bioscience data. Nat Genet. 2012 Jan 27;44(2).
Field, Sansone, Collis et al. Megascience. 'Omics data sharing. Science. 2009 Oct 9;326(5950).
Taylor, Field, Sansone, et al. Promoting coherent minimum reporting guidelines for biological and biomedical investigations: the MIBBI project. Nat Biotechnol. 2008 Aug;26(8).
Smith, Ashburner, Rosse et al. The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration. Nat Biotechnol. 2007 Nov;25(11).
I am currently looking for motivated DPhil/PhD students to join my group. If you have an interest in my areas of activity, please get in touch with your CV and project proposal.