Biography:Susanna-Assunta Sansone

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Short description: British-Italian data scientist
Susanna-Assunta Sansone
Susanna-Assunta Sansone.jpg
Susanna-Assunta Sansone
NationalityItalian
Other namesFAIR lady[1]
Alma materUniversity of Naples Federico II
Imperial College London (BSc, PhD)
Scientific career
FieldsOpen science
Reproducibility
Data management
Data publication
FAIR data[2]
InstitutionsUniversity of Oxford
Oxford e-Research Centre
European Bioinformatics Institute
Research Data Alliance
Microscience Ltd
ThesisThe role of CU-ZN-cofactored superoxide dismutase in salmonella virulence (2001)
Website{{{1}}}

Susanna-Assunta Sansone is a British-Italian data scientist who is professor of data readiness at the University of Oxford where she leads the data readiness group and serves as associate director of the Oxford e-Research Centre.[3] Her research investigates techniques for improving the interoperability, reproducibility and integrity of data.[2][4]

Early life and education

Sansone is from Italy. She was an undergraduate student at the University of Naples Federico II.[5] She earned her bachelor's degree in molecular biology and a PhD in microbiology at Imperial College London,[6] where she worked in St Mary's Hospital, London.[7] Her thesis investigated the role of the cofactored enzyme superoxide dismutase in the virulence of Salmonella.[6]

Research and career

After earning her doctorate, she moved to Microscience Ltd, where she characterised vaccine strains.[7] In 2001, Sansone joined the European Bioinformatics Institute (EBI), part of the European Molecular Biology Laboratory (EMBL) where she worked in research data management.[7] Sansone joined the University of Oxford in 2010.[8] She became concerned that whilst there were vast amounts of data in the public domain, the majority of it was not reusable. To make data reusable, Sansone encourages researchers to combine their data with metadata: a description of what the data means.[9] Sansone has described data reproducibility as “the foundation of every scientific field,”.[10]

Sansone's research investigates strategies to enable the creation of research objects that are Findable, Accessible, Interoperable and Reusable (FAIR).[7][11][3] She co-founded the peer-reviewed journal Scientific Data in 2013, and serves as chair of the Research Data Alliance.[12][13] She co-authored the FAIR data principles in 2016,[14] a set of guidelines for the scientific ecosystem.[15] FAIR principles have since been adopted by funding bodies, scientific publishers and the private sector.[15] Sansone works with partners to deliver data stewardship and data governance training and to develop guidelines to make data more accessible.[16] She is one of the co-creators the FAIR Cookbook, an online resource for life scientists to enable them to keep FAIR data.[17] Her research has been funded by the Biotechnology and Biological Sciences Research Council (BBSRC) and the European Union.[18]

Selected publications

Her publications[2][4][19] include

  • The FAIR Guiding Principles for scientific data management and stewardship[14]
  • ArrayExpress--a public database of microarray experiments and gene expression profiles[20]
  • The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration[21]
  • The minimum information about a genome sequence (MIGS) specification[22]
  • MetaboLights—an open-access general-purpose repository for metabolomics studies and associated meta-data[23]
  • COVID-19 pandemic reveals the peril of ignoring metadata standards [24]
  • ISA software suite: supporting standards-compliant experimental annotation and enabling curation at the community level[25]
  • Toward interoperable bioscience data[26]
  • Modeling biomedical experimental processes with OBI [27]

References

  1. {{Twitter}} template missing ID and not present in Wikidata.
  2. 2.0 2.1 2.2 {{Google Scholar id}} template missing ID and not present in Wikidata.
  3. 3.0 3.1 "Professor Susanna-Assunta Sansone". University of Oxford. https://www.ox.ac.uk/news-and-events/find-an-expert/professor-susanna-assunta-sansone-0. 
  4. 4.0 4.1 Susanna-Assunta Sansone publications from Europe PubMed Central
  5. "Susanna-Assunta Sansone" (in en). ELIXIR. https://elixir-europe.org/users/susanna-assunta-sansone. 
  6. 6.0 6.1 Sansone, Susanna-Assunta (2001). The role of CU-ZN-cofactored superoxide dismutase in salmonella virulence. london.ac.uk (PhD thesis). Imperial College London (University of London). OCLC 498579453. EThOS uk.bl.ethos.246768.
  7. 7.0 7.1 7.2 7.3 "Susanna-Assunta Sansone" (in en-gb). https://eng.ox.ac.uk/people/susanna-assunta-sansone/. 
  8. "Susanna-Assunta Sansone". 2019-06-11. https://www.fairsfair.eu/advisory-board/susanna-assunta-sansone. 
  9. Van Noorden, Richard (2013). "Data-sharing: Everything on display" (in en). Nature 500 (7461): 243–245. doi:10.1038/nj7461-243a. ISSN 1476-4687. PMID 23930278. 
  10. "Towards Improved Data Reproducibility" (in en). Informatics from Technology Networks. https://www.technologynetworks.com/informatics/articles/towards-improved-data-reproducibility-355027. 
  11. "Susanna-Assunta Sansone" (in en). https://masterclasses.nature.com/susanna--assunta--sansone/18427964. 
  12. "Editors & Editorial Board" (in en). Scientific Data. https://www.nature.com/sdata/editorial-board. 
  13. "Susanna-Assunta Sansone" (in en). https://www.rd-alliance.org/users/susanna-assunta-sansone. 
  14. 14.0 14.1  , Wikidata Q27942822
  15. 15.0 15.1 "Pharma-backed Toolkit to Speed Up Adoption of FAIR Data Principles" (in en). Informatics from Technology Networks. https://www.technologynetworks.com/informatics/blog/pharma-backed-toolkit-to-speed-up-adoption-of-fair-data-principles-322550. 
  16. "Funded Projects". https://sansonegroup.eng.ox.ac.uk/projects/. 
  17. "FAIR Cookbook". https://fairplus.github.io/the-fair-cookbook/content/home.html. 
  18. "UK government grants awarded to Susanna Sansone". UK Research and Innovation. https://gtr.ukri.org/person/649CD2DC-CB5D-4B4F-BAA0-CDE99742B6A7. 
  19. {{DBLP}} template missing ID and not present in Wikidata.
  20.  , Wikidata Q33264889
  21.  , Wikidata Q19671692
  22.  , Wikidata Q28279450
  23.  , Wikidata Q27818909
  24.  , Wikidata Q96473059
  25.  , Wikidata Q28749402
  26.  , Wikidata Q28090939
  27.  , Wikidata Q28287823