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Isabelle PERSEIL

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

Coordination Group

Working and Interest Group Chairs

Member
This is a group dedicated to all the Working and Interest Group Chairs ‘RDA Technical Advisory Board (TAB) Meets Chairs’ Meetings The TAB meets chairs meetings provide RDA group chairs wit...
Historical Group

Data Granularity WG

Member
Stage: Completed
Chair(s): Katherine McNeill, Reyna Broadhurst, Brigitte Mathiak
Welcome to the RDA Data Granularity Working Group Please note the WG has completed its work, and the final recommendations are being maintained by the Data Discovery Paradigms IG Purpose The efficient...
Historical Group

PID Information Types WG

Member
Chair(s): Tobias Weigel, Tim DiLauro
In complex data domains, unique and persistent identifiers (PIDs) associated with specific information are the core of proper data management and access. They can be used to give every data object (in...