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Dr

Philippe Rocca-Serra DPhil MSc

Group Coordinator and co-Investigator

Associate Member of Faculty

TEL: 01865610657
COLLEGE: Kellogg College

Biography

Philippe Rocca-Serra graduated from the Ecole Nationale Supérieure d'Agronomie de Rennes, France with a Diplôme d'Ingénieur before completing a Ph.D in Molecular Genetics from the University of Bordeaux (2001), during which he was supported by EMBO fellowship supporting collaboration the University of Oslo.

He then joined the EMBL European Bioinformatics Institute (EBI), contributing to the design and development of databases, tools and data standards for communicating scientific results generated by Omics technologies. He joined the Oxford e-Research Centre in 2010 and has continued developing his activities on open data and open science.

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Google Scholar
ORCID

Most Recent Publications

Enabling reusability of plant phenomic datasets with MIAPPE 1.1.

Papoutsoglou EA et al. (2020), New Phytologist

Semantic concept schema of the linear mixed model of experimental observations

Ćwiek-Kupczyńska H et al. (2020), Scientific Data, 7(1)

Experiment design driven FAIRification of omics data matrices, an exemplar

Rocca-Serra P & Sansone S (2019), Scientific Data, 6, 271

View all

Research Interests

  • Open Science and FAIR data
  • Data Standards
  • Ontologies/Semantic web
  • Metabolomics
  • Transcriptomics

Current Projects

FAIRplus

An Innovative Medicine Initiative 2 Research and Innovation Action (grant agreement: 802750) project to deliver guidelines and tools to facilitate the application of ‘FAIR’ principles to data from certain IMI projects and datasets from pharmaceutical companies.

NIH-Common Fund Data Ecosystem 

Common Fund programs are intended to provide resources that accelerate discovery across many different biomedical research fields.

ISA-Intermine

A Wellcome Trust funded project (Biomedical Resource and Technology Development Grants ) for accelerating and rewarding data sharing.

Research Groups

Most Recent Publications

Enabling reusability of plant phenomic datasets with MIAPPE 1.1.

Papoutsoglou EA et al. (2020), New Phytologist

Semantic concept schema of the linear mixed model of experimental observations

Ćwiek-Kupczyńska H et al. (2020), Scientific Data, 7(1)

Experiment design driven FAIRification of omics data matrices, an exemplar

Rocca-Serra P & Sansone S (2019), Scientific Data, 6, 271

View all

Publications

Google Scholar

Most Recent Publications

Enabling reusability of plant phenomic datasets with MIAPPE 1.1.

Papoutsoglou EA et al. (2020), New Phytologist

Semantic concept schema of the linear mixed model of experimental observations

Ćwiek-Kupczyńska H et al. (2020), Scientific Data, 7(1)

Experiment design driven FAIRification of omics data matrices, an exemplar

Rocca-Serra P & Sansone S (2019), Scientific Data, 6, 271

View all