What is he best known for?
The fields of study he is best known for:
- Bioinformatics
- Database
- Genetics
His primary areas of investigation include Bioinformatics, Computational biology, Data science, Annotation and Genetics.
His Bioinformatics research integrates issues from Controlled vocabulary and Process management.
His studies in Data science integrate themes in fields like Ontology for Biomedical Investigations, Basic Formal Ontology and OBO Foundry.
His Basic Formal Ontology research is multidisciplinary, relying on both IDEF5 and Biological Ontologies.
His Annotation research is multidisciplinary, incorporating elements of Software, Metadata, Information retrieval and Biological data.
His Data management research incorporates elements of Knowledge management and Implementation.
His most cited work include:
- The FAIR Guiding Principles for scientific data management and stewardship (3142 citations)
- The OBO Foundry : coordinated evolution of ontologies to support biomedical data integration (1945 citations)
- ArrayExpress—a public repository for microarray gene expression data at the EBI (998 citations)
What are the main themes of his work throughout his whole career to date?
Philippe Rocca-Serra mainly investigates Data science, Metadata, Ontology, Interoperability and Information retrieval.
Philippe Rocca-Serra interconnects Standardization, Data management, Bioinformatics and Domain in the investigation of issues within Data science.
His Data management study often links to related topics such as Knowledge management.
His Metadata study incorporates themes from Workflow and Database.
In the field of Ontology, his study on Open Biomedical Ontologies overlaps with subjects such as Ontology.
His research in Information retrieval intersects with topics in Data type, XML, Data exchange and Metadata repository.
He most often published in these fields:
- Data science (40.00%)
- Metadata (23.85%)
- Ontology (18.46%)
What were the highlights of his more recent work (between 2018-2021)?
- Interoperability (14.62%)
- Metadata (23.85%)
- Data science (40.00%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Interoperability, Metadata, Data science, Convergence and MEDLINE.
He has included themes like Findability and Baseline, Software engineering in his Interoperability study.
The study incorporates disciplines such as Java, Data model and Workflow in addition to Metadata.
His Data science study spans across into subjects like Information system, Process, Open science and Publishing.
He undertakes interdisciplinary study in the fields of Knowledge management and Data collection through his research.
Philippe Rocca-Serra undertakes multidisciplinary studies into Guiding Principles and Stewardship in his work.
Between 2018 and 2021, his most popular works were:
- FAIRsharing as a community approach to standards, repositories and policies (93 citations)
- The FAIR Guiding Principles for scientific data management and stewardship (vol 15, 160018, 2016) (29 citations)
- FAIR principles : interpretations and implementation considerations (21 citations)
In his most recent research, the most cited papers focused on:
- Bioinformatics
- Database
- Genetics
His primary scientific interests are in Convergence, Guiding Principles, Stewardship, Interoperability and Stakeholder.
His Convergence investigation overlaps with Data science, Implementation, USable, Risk analysis and Findability.
His Guiding Principles research overlaps with other disciplines such as Data management, Engineering ethics and Reuse.
Combining a variety of fields, including Stewardship, Request for proposal, Workflow, Acknowledgement, Engineering management and Metadata, are what the author presents in his essays.
His studies link Emerging technologies with Interoperability.
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