What is he best known for?
The fields of study he is best known for:
- The Internet
- Bioinformatics
- Database
Susanna-Assunta Sansone mostly deals with Data science, Bioinformatics, Metadata, Standardization and Annotation.
His Data science study integrates concerns from other disciplines, such as Ontology, Ontology for Biomedical Investigations, Basic Formal Ontology, OBO Foundry and Guiding Principles.
His work on Accession number as part of general Bioinformatics study is frequently connected to Resource, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
He interconnects Raw data, Metabolomics and Primary research in the investigation of issues within Metadata.
His World Wide Web research is multidisciplinary, incorporating elements of Software, Software suite, Documentation and Implementation.
His Implementation research includes elements of Findability, Stewardship, Reuse and Data curation.
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?
His scientific interests lie mostly in Data science, Metadata, Interoperability, World Wide Web and Ontology.
As a part of the same scientific study, he usually deals with the Data science, concentrating on Workflow and frequently concerns with Data mining.
His work on Data discovery is typically connected to Experimental data as part of general Metadata study, connecting several disciplines of science.
His work deals with themes such as Reuse, Knowledge management, Findability, Field and Software, which intersect with Interoperability.
Within one scientific family, Susanna-Assunta Sansone focuses on topics pertaining to Annotation under Ontology, and may sometimes address concerns connected to Documentation and Software suite.
Susanna-Assunta Sansone integrates many fields, such as Standardization and Bioinformatics, in his works.
He most often published in these fields:
- Data science (37.19%)
- Metadata (24.12%)
- Interoperability (20.10%)
What were the highlights of his more recent work (between 2019-2021)?
- Interoperability (20.10%)
- Metadata (24.12%)
- Data science (37.19%)
In recent papers he was focusing on the following fields of study:
Susanna-Assunta Sansone mainly focuses on Interoperability, Metadata, Data science, Reuse and World Wide Web.
His Interoperability study incorporates themes from Reusability, Findability, Field and Software engineering, Implementation.
His biological study spans a wide range of topics, including Risk analysis and Guiding Principles.
His Metadata study deals with Data model intersecting with Java.
His Reuse research includes themes of Controlled vocabulary and Distributed computing.
His World Wide Web research incorporates themes from Training and Scripting language.
Between 2019 and 2021, his most popular works were:
- FAIR principles : interpretations and implementation considerations (21 citations)
- Enabling reusability of plant phenomic datasets with MIAPPE 1.1. (17 citations)
- COVID-19 pandemic reveals the peril of ignoring metadata standards. (13 citations)
In his most recent research, the most cited papers focused on:
- The Internet
- Database
- Bioinformatics
His scientific interests lie mostly in Metadata, Data science, Implementation, Interoperability and 2019-20 coronavirus outbreak.
The study incorporates disciplines such as Domain, Data model, Knowledge extraction and Reusability in addition to Metadata.
His Implementation study combines topics from a wide range of disciplines, such as Findability, Risk analysis and Guiding Principles.
His studies link Reuse with Interoperability.
Many of his 2019-20 coronavirus outbreak research pursuits overlap with Viral genetics, Genomic data, Pandemic, Severe acute respiratory syndrome coronavirus 2 and Datasets as Topic.
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