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OMEX metadata specification (version 1.2).
Gennari, John H; König, Matthias; Misirli, Goksel; Neal, Maxwell L; Nickerson, David P; Waltemath, Dagmar.
Afiliación
  • Gennari JH; University of Washington, Seattle, USA.
  • König M; Humboldt University, Berlin, Germany.
  • Misirli G; Keele University, Newcastle, UK.
  • Neal ML; Seattle Children's Research Institute, Seattle, USA.
  • Nickerson DP; Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
  • Waltemath D; University of Greifswald, Greifswald, Germany.
J Integr Bioinform ; 18(3)2021 Oct 20.
Article en En | MEDLINE | ID: mdl-34668356
ABSTRACT
A standardized approach to annotating computational biomedical models and their associated files can facilitate model reuse and reproducibility among research groups, enhance search and retrieval of models and data, and enable semantic comparisons between models. Motivated by these potential benefits and guided by consensus across the COmputational Modeling in BIology NEtwork (COMBINE) community, we have developed a specification for encoding annotations in Open Modeling and EXchange (OMEX)-formatted archives. This document details version 1.2 of the specification, which builds on version 1.0 published last year in this journal. In particular, this version includes a set of initial model-level annotations (whereas v 1.0 described exclusively annotations at a smaller scale). Additionally, this version uses best practices for namespaces, and introduces omex-library.org as a common root for all annotations. Distributing modeling projects within an OMEX archive is a best practice established by COMBINE, and the OMEX metadata specification presented here provides a harmonized, community-driven approach for annotating a variety of standardized model representations. This specification acts as a technical guideline for developing software tools that can support this standard, and thereby encourages broad advances in model reuse, discovery, and semantic analyses.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Metadatos Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: J Integr Bioinform Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Metadatos Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: J Integr Bioinform Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos