Dr. Isabelle Perseil (F), INSERM, Head of the R&D Computational Science
http://cvscience.aviesan.fr/cv/857/isabelle-perseil
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Dr. Perseil manages a group of experts which provides the best practices in software engineering, Data Management, Big data, deep learning, HPC, Grids, Cloud Computing, parallel computing to 300 research units (1200 research teams). The Computational Science Coordination is working with 13 regional administrations and 23 regional Mesocenters to pool the computational resources (grids and HPC) and train more than 1000 engineers and researchers to HPC (OpenMP, MPI and now ORWL) and Big data (MapReduce, Hadoop, Spark, Flink, Storm).
Isabelle Perseil has taught UML at Ecole Centrale de Paris for 15 years and supervised Daniel Salas thesis (defended in sept,2019)
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Dr Perseil is a RDA member of 60 groups, among them:
Research Data Provenance IG
RDA in France
BioSharing Registry: connecting data policies, standards & databases in life sciences WG
Provenance Patterns WG
RDA/NISO Privacy Implications of Research Data Sets IG
Health Data Interest Group
and has recently followed the CODATA-RDA workshop in Bioinformatics
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Dr Isabelle Perseil is a member of the EUDAT Sensitive data working group
Dr Perseil is involved in the GOFAIR initiative (creation of the Bioinformatics IN)
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Isabelle Perseil is involved in many European research projects, among them:
EOSC-LIfe, an INFRAEOSC-04 accepted European project headed by ELIXIR, in which Isabelle Perseil is co-leading WP6:FAIRification and provenance services
Mission The mission of the AIDV-WG is to contribute to building the ethical, legal, social, and technical frameworks for Artificial Intelligence while examining the potential of data visitation to bri...
Digital twins, customized simulation models pioneered in industry, are beginning to gain ground in medicine and healthcare, with some major successes in cardiovascular diagnostics and insulin pump con...
The idea of FAIR (findable, accessible, interoperable, and reusable) in the context of scientific data management and stewardship was developed in 2014 and turned into specific principles in 2016[1]. ...
OUTPUTS
Completed and RDA-endorsed
FAIRsharing registry – A curated, informative and educational registry of interlinked descriptions of (i) standards (to identify, report, and cite data and m...
The proposed Interest Group on “Health Data” (HD-IG) is a long-term initiative in the framework of RDA. It follows a rather successful BoF Session during the 6th RDA Plenary Meeting in Paris, whi...
The life sciences are becoming increasingly data intensive, owing much to the huge improvements seen in large-scale gene sequencing and other molecular “omics” techniques. There is a need for larg...
The pervasive use of persistent identifiers is seen as a foundational element in anchoring and referencing research data in an interoperable way. The purpose of the Persistent Identifier Interest Grou...
Adoption and application of the FAIR principles to research data has grown significantly in the few years that they have existed. They have been embraced in many quarters and have paved the way to cre...
This is the subgroup of the RDA-COVID-19 working group focusing on Clinical.
Co-chair assigned: Anne Cambon-Thomsen
Moderator(s): Sergio Bonini, Andrea Jackson-Dipina, Dawei Lin, Christi...
