The devices, experimental scaffolds, and biomaterials ontology (DEB): a tool for mapping, annotation, and analysis of biomaterials' data

The size and complexity of the biomaterials literature makes systematic data analysis an excruciating manual task. A practical solution is creating databases and information resources. Implant design and biomaterials research can greatly benefit from an open database for systematic data retrieval. O...

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Detalles Bibliográficos
Autores: Hakimi, Osnat|||0000-0002-8839-4846, Gelpi Buchaca, Josep Lluís, Krallinger, Martin, Curi, Fabio, Repchevsky, Dmitry, Ginebra Molins, Maria Pau|||0000-0002-4700-5621
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/180298
Acceso en línea:https://hdl.handle.net/2117/180298
https://dx.doi.org/10.1002/adfm.201909910
Access Level:acceso abierto
Palabra clave:Data mining
Biomedical materials
Biomaterials
Text mining
Ontology
Database
Annotation
Mineria de dades
Materials biomèdics
Àrees temàtiques de la UPC::Enginyeria biomèdica::Biomaterials
Descripción
Sumario:The size and complexity of the biomaterials literature makes systematic data analysis an excruciating manual task. A practical solution is creating databases and information resources. Implant design and biomaterials research can greatly benefit from an open database for systematic data retrieval. Ontologies are pivotal to knowledge base creation, serving to represent and organize domain knowledge. To name but two examples, GO, the gene ontology, and CheBI, Chemical Entities of Biological Interest ontology and their associated databases are central resources to their respective research communities. The creation of the devices, experimental scaffolds, and biomaterials ontology (DEB), an open resource for organizing information about biomaterials, their design, manufacture, and biological testing, is described. It is developed using text analysis for identifying ontology terms from a biomaterials gold standard corpus, systematically curated to represent the domain's lexicon. Topics covered are validated by members of the biomaterials research community. The ontology may be used for searching terms, performing annotations for machine learning applications, standardized meta-data indexing, and other cross-disciplinary data exploitation. The input of the biomaterials community to this effort to create data-driven open-access research tools is encouraged and welcomed.