Your browser doesn't support javascript.
loading
FAIR principles and the IEDB: short-term improvements and a long-term vision of OBO-foundry mediated machine-actionable interoperability.
Vita, Randi; Overton, James A; Mungall, Christopher J; Sette, Alessandro; Peters, Bjoern.
Afiliação
  • Vita R; La Jolla Institute for Allergy and Immunology, Division of Vaccine Discovery and Center for Emerging Diseases and Biodefense, 9420 Athena Circle, La Jolla, CA 92037, USA.
  • Overton JA; La Jolla Institute for Allergy and Immunology, Division of Vaccine Discovery and Center for Emerging Diseases and Biodefense, 9420 Athena Circle, La Jolla, CA 92037, USA.
  • Mungall CJ; Lawrence Berkeley National Laboratory, Division of Environmental Genomics and Systems Biology, 1 Cyclotron Rd Berkeley, CA 94720, USA.
  • Sette A; La Jolla Institute for Allergy and Immunology, Division of Vaccine Discovery and Center for Emerging Diseases and Biodefense, 9420 Athena Circle, La Jolla, CA 92037, USA.
  • Peters B; La Jolla Institute for Allergy and Immunology, Division of Vaccine Discovery and Center for Emerging Diseases and Biodefense, 9420 Athena Circle, La Jolla, CA 92037, USA.
Database (Oxford) ; 20182018 01 01.
Article em En | MEDLINE | ID: mdl-29688354
ABSTRACT
The Immune Epitope Database (IEDB), at www.iedb.org, has the mission to make published experimental data relating to the recognition of immune epitopes easily available to the scientific public. By presenting curated data in a searchable database, we have liberated it from the tables and figures of journal articles, making it more accessible and usable by immunologists. Recently, the principles of Findability, Accessibility, Interoperability and Reusability have been formulated as goals that data repositories should meet to enhance the usefulness of their data holdings. We here examine how the IEDB complies with these principles and identify broad areas of success, but also areas for improvement. We describe short-term improvements to the IEDB that are being implemented now, as well as a long-term vision of true 'machine-actionable interoperability', which we believe will require community agreement on standardization of knowledge representation that can be built on top of the shared use of ontologies.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bases de Dados Factuais / Ontologias Biológicas / Curadoria de Dados / Epitopos Limite: Animals / Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bases de Dados Factuais / Ontologias Biológicas / Curadoria de Dados / Epitopos Limite: Animals / Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article