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CEDAR OnDemand: a browser extension to generate ontology-based scientific metadata.
Bukhari, Syed Ahmad Chan; Martínez-Romero, Marcos; O' Connor, Martin J; Egyedi, Attila L; Willrett, Debra; Graybeal, John; Musen, Mark A; Cheung, Kei-Hoi; Kleinstein, Steven H.
Afiliação
  • Bukhari SAC; Department of Pathology, Yale School of Medicine, New Haven, CT, USA. ahmad.chan@yale.edu.
  • Martínez-Romero M; Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA.
  • O' Connor MJ; Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA.
  • Egyedi AL; Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA.
  • Willrett D; Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA.
  • Graybeal J; Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA.
  • Musen MA; Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA.
  • Cheung KH; Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA. kei.cheung@yale.edu.
  • Kleinstein SH; Department of Emergency Medicine and Yale Center for Medical Informatics, Yale University School of Medicine, New Haven, CT, USA. kei.cheung@yale.edu.
BMC Bioinformatics ; 19(1): 268, 2018 07 16.
Article em En | MEDLINE | ID: mdl-30012108
BACKGROUND: Public biomedical data repositories often provide web-based interfaces to collect experimental metadata. However, these interfaces typically reflect the ad hoc metadata specification practices of the associated repositories, leading to a lack of standardization in the collected metadata. This lack of standardization limits the ability of the source datasets to be broadly discovered, reused, and integrated with other datasets. To increase reuse, discoverability, and reproducibility of the described experiments, datasets should be appropriately annotated by using agreed-upon terms, ideally from ontologies or other controlled term sources. RESULTS: This work presents "CEDAR OnDemand", a browser extension powered by the NCBO (National Center for Biomedical Ontology) BioPortal that enables users to seamlessly enter ontology-based metadata through existing web forms native to individual repositories. CEDAR OnDemand analyzes the web page contents to identify the text input fields and associate them with relevant ontologies which are recommended automatically based upon input fields' labels (using the NCBO ontology recommender) and a pre-defined list of ontologies. These field-specific ontologies are used for controlling metadata entry. CEDAR OnDemand works for any web form designed in the HTML format. We demonstrate how CEDAR OnDemand works through the NCBI (National Center for Biotechnology Information) BioSample web-based metadata entry. CONCLUSION: CEDAR OnDemand helps lower the barrier of incorporating ontologies into standardized metadata entry for public data repositories. CEDAR OnDemand is available freely on the Google Chrome store https://chrome.google.com/webstore/search/CEDAROnDemand.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Software / Internet / Ontologias Biológicas / Metadados Limite: Humans Idioma: En Revista: BMC Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Software / Internet / Ontologias Biológicas / Metadados Limite: Humans Idioma: En Revista: BMC Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos