Peer-Reviewed Publications

Our full list of publications.

Prof. Sansone's Google Scholar profile.

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Ten selected example publications

  1. Viant MR, Ebbels TMD, Beger RD, et al. Use cases, best practice and reporting standards for metabolomics in regulatory toxicology. Nature Communications 10, 3041 (2019). doi:10.1038/s41467-019-10900-y
  2. Amann RI, Baichoo S, Blencowe BJ, et al. Toward unrestricted use of public genomic data. Science 2019 Jan 25;363(6425):350-352. doi:10.1126/science.aaw1280
  3. Sansone SA, McQuilton P, Rocca-Serra P, et al. FAIRsharing, a cohesive community approach to the growth in standards, repositories and policies. Nat Biotech. 2019 April 37;358-367. doi:10.1038/s41587-019-0080-8.
  4. Wilkinson MD, Sansone SA, Schultes E, et al. A design framework and exemplar metrics for FAIRness. Sci Data 2018 Jun 26;5. doi:10.1038/sdata.2018.118
  5. Ohno-Machado L*, Sansone SA*, Alter G*, et al. DataMed: Finding useful data across multiple biomedical data repositories. Nat Genet. 2017 May 26;49(6):816-819. doi:10.1038/ng.3864. The * indicates co-first authors.
  6. Wilkinson MD, Dumontier M, Aalbersberg IJ, et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 2016 Mar 15;3. doi:10.1038/sdata.2016.18.
  7. Baker NA, Klemm JD, Harper SL, et al. Standardizing data. Nat Nanotechnol. 2013 Feb;8(2). doi:10.1038/nnano.2013.12.
  8. Sansone SA*, Rocca-Serra P*, Field D, et al. Toward interoperable bioscience data. Nat Genet. 2012 Jan 27;44(2). doi:10.1038/ng.1054.
  9. Field D*, Sansone SA*, Collis A*, et al. Megascience. 'Omics data sharing. Science. 2009 Oct 9;326(5950). doi:10.1126/science.1180598. The * indicates co-first authors.
  10. Taylor CF*, Field D*, Sansone SA*, et al. Promoting coherent minimum reporting guidelines for biological and biomedical investigations: the MIBBI project. Nat Biotechnol. 2008 Aug;26(8). doi:10.1038/nbt.1411. The * indicates co-first and corresponding authors.
  11. Smith B, Ashburner M, Rosse C, et al. The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration. Nat Biotechnol. 2007 Nov;25(11). doi:10.1038/nbt1346.

Invited expert reports, impacting on funders’ data policy