Bioinformatics, Information retrieval, Ontology, Data science and Computational biology are his primary areas of study. His Information retrieval research includes themes of RxNorm and Data discovery. His study in Ontology is interdisciplinary in nature, drawing from both Ontology, Semantics and Pharmacophore.
His Data science research is mostly focused on the topic Data curation. He interconnects Data element, Stewardship, Datasets as Topic and Workflow in the investigation of issues within Data curation. The Computational biology study combines topics in areas such as SELEX Aptamer Technique, Systematic evolution of ligands by exponential enrichment and Aptamer.
Michel Dumontier mainly focuses on Semantic Web, Data science, Information retrieval, World Wide Web and Ontology. Michel Dumontier has included themes like Knowledge base, The Internet, Data integration and Interoperability in his Data science study. His studies in Information retrieval integrate themes in fields like Metadata and Knowledge extraction.
His work in the fields of World Wide Web, such as Web service and Web API, intersects with other areas such as Process. His research integrates issues of Ontology, Semantics and Knowledge representation and reasoning in his study of Ontology. His Linked data research is multidisciplinary, relying on both Bio2RDF and Database.
Michel Dumontier mainly focuses on Data science, Semantic Web, World Wide Web, Interoperability and Artificial intelligence. His Data science study combines topics from a wide range of disciplines, such as Domain, Ontology, Workflow and Protocol. His work in the fields of Semantic Web, such as Linked data and Semantic publishing, overlaps with other areas such as Generator.
In general World Wide Web study, his work on RDF often relates to the realm of Information repository and Workbench, thereby connecting several areas of interest. Michel Dumontier applies his multidisciplinary studies on Interoperability and Guiding Principles in his research. His work carried out in the field of Findability brings together such families of science as Stakeholder, Risk analysis and Implementation.
His main research concerns Guiding Principles, Interoperability, Data science, Artificial intelligence and Machine learning. His Guiding Principles research spans across into areas like Findability, Rubric, World Wide Web, Stewardship and Sociology. His work deals with themes such as Stakeholder, Risk analysis and Implementation, which intersect with Findability.
His Interoperability study combines topics in areas such as Simple, Training, Metadata, Field and Key. His work on Analytics as part of general Data science study is frequently connected to Data reuse, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His work in Artificial intelligence tackles topics such as Drug discovery which are related to areas like DrugBank, Drug-drug interaction, KEGG, Drug development and Knowledge engineering.
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The FAIR Guiding Principles for scientific data management and stewardship
Mark D Wilkinson;Michel Dumontier;IJsbrand Jan Aalbersberg;Gabrielle Appleton.
Scientific Data (2016)
The Biomolecular Interaction Network Database and related tools 2005 update
C. Alfarano;C. E. Andrade;K. Anthony;N. Bahroos.
Nucleic Acids Research (2004)
Controlled vocabularies and semantics in systems biology
Mélanie Courtot;Nick Juty;Christian Knüpfer;Dagmar Waltemath.
Molecular Systems Biology (2011)
Finding Our Way through Phenotypes.
Andrew R. Deans;Suzanna E. Lewis;Eva Huala;Salvatore S. Anzaldo.
PLOS Biology (2015)
The Ontology for Biomedical Investigations
Anita Bandrowski;Ryan Brinkman;Mathias Brochhausen;Matthew H. Brush.
PLOS ONE (2016)
Cloudy, increasingly FAIR; Revisiting the FAIR Data guiding principles for the European Open Science Cloud
Barend Mons;Cameron Neylon;Jan Velterop;Michel Dumontier.
Information services & use (2017)
The Semanticscience Integrated Ontology (SIO) for biomedical research and knowledge discovery
Michel Dumontier;Michel Dumontier;Christopher J. O. Baker;Joachim Baran;Alison Callahan.
Journal of Biomedical Semantics (2014)
Bio2RDF release 2: Improved coverage, interoperability and provenance of life science linked data
Alison Callahan;José Cruz-Toledo;Peter Ansell;Michel Dumontier.
extended semantic web conference (2013)
Rac1 GTPases control filopodia formation, cell motility, endocytosis, cytokinesis and development in Dictyostelium.
Michel Dumontier;Petra Höcht;Ursula Mintert;Jan Faix.
Journal of Cell Science (2000)
Toward a complete dataset of drug-drug interaction information from publicly available sources
Serkan Ayvaz;John Horn;Oktie Hassanzadeh;Qian Zhu.
Journal of Biomedical Informatics (2015)
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