Minimal Information for Neural Electromagnetic Ontologies (MINEMO): A standards-compliant method for analysis and integration of event-related potentials (ERP) data
Author(s) -
Gwen A. Frishkoff,
Jason Sydes,
Kurt Mueller,
R.M. Frank,
Tim Curran,
John F. Connolly,
Kerry Kilborn,
Dennis L. Molfese,
Charles A. Perfetti,
Allen Malony
Publication year - 2011
Publication title -
standards in genomic sciences
Language(s) - English
Resource type - Journals
ISSN - 1944-3277
DOI - 10.4056/sigs.2025347
Subject(s) - metadata , computer science , upload , ontology , rdf , context (archaeology) , event (particle physics) , information retrieval , semantic integration , semantic web , world wide web , paleontology , philosophy , physics , epistemology , quantum mechanics , biology , semantic web stack
We present MINEMO (Minimal Information for Neural ElectroMagnetic Ontologies), a checklist for the description of event-related potentials (ERP) studies. MINEMO extends MINI (Minimal Information for Neuroscience Investigations)to the ERP domain. Checklist terms are explicated in NEMO, a formal ontology that is designed to support ERP data sharing and integration. MINEMO is also linked to an ERP database and web application (the NEMO portal). Users upload their data and enter MINEMO information through the portal. The database then stores these entries in RDF (Resource Description Framework), along with summary metrics, i.e., spatial and temporal metadata. Together these spatial, temporal, and functional metadata provide a complete description of ERP data and the context in which these data were acquired. The RDF files then serve as inputs to ontology-based labeling and meta-analysis. Our ultimate goal is to represent ERPs using a rich semantic structure, so results can be queried at multiple levels, to stimulate novel hypotheses and to promote a high-level, integrative account of ERP results across diverse study methods and paradigms.
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