Record updated: May 4, 2017, 2:08 p.m. by The FAIRsharing Team.

Edits to 'https://fairsharing.org/FAIRsharing.ah5f2f' by 'The FAIRsharing Team' at 14:16, 30 Nov 2016 (approved):

	'description' has been modified:
		Before: Minimal Information for Neural ElectroMagnetic Ontologies (MINEMO; formerly "MIEME" or "MINIerp") is the minimal set of experiment meta-data that is required for datasets that are used in the NEMO project.  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.
		After: Minimal Information for Neural ElectroMagnetic Ontologies (MINEMO; formerly "MIEME" or "MINIerp") is the minimal set of experiment meta-data that is required for datasets that are used in the NEMO project.  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. The 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. Domain list has changed:  Previous values: Biomedical Science|None| Brain|material|http://ontology.neuinfo.org/NIF/BiomaterialEntities/NIF-GrossAnatomy.owl#birnlex_796 Cognition|process|http://purl.obolibrary.org/obo/GO_0050890 Data acquisition|process|http://purl.obolibrary.org/obo/OBI_0600013 Data transformation|process|http://purl.obolibrary.org/obo/OBI_0200000 Database|property|http://bioontology.org/ontologies/BiomedicalResourceOntology.owl#Database Electromagnetism|process| Electrophysiology|process|http://ontology.neuinfo.org/NIF/DigitalEntities/NIF-Scientific-Discipline.owl#nlx_inv_100625 Healthcare|| Life Science|domain| Neuron|material|http://purl.obolibrary.org/obo/CL_0000540 Standard|information content entity| New values:  Biomedical Science|None| Brain|material|http://ontology.neuinfo.org/NIF/BiomaterialEntities/NIF-GrossAnatomy.owl#birnlex_796 Cognition|process|http://purl.obolibrary.org/obo/GO_0050890 Data acquisition|process|http://purl.obolibrary.org/obo/OBI_0600013 Data transformation|process|http://purl.obolibrary.org/obo/OBI_0200000 Database|property|http://bioontology.org/ontologies/BiomedicalResourceOntology.owl#Database Electromagnetism|process| Electrophysiology|process|http://ontology.neuinfo.org/NIF/DigitalEntities/NIF-Scientific-Discipline.owl#nlx_inv_100625 Healthcare|| Life Science|domain| Neuron|material|http://purl.obolibrary.org/obo/CL_0000540 Standard|information content entity| Neuroscience|process|http://ontology.neuinfo.org/NIF/DigitalEntities/NIF-Scientific-Discipline.owl#nlx_inv_100602 Organisations have changed:  Previous values: National Institute of Health (NIH)|USA Semantic Systems Biology Group New values:  National Institute of Health (NIH)|USA Semantic Systems Biology Group University of Oregon|USA

            

Edits to 'https://fairsharing.org/FAIRsharing.ah5f2f' by 'The FAIRsharing Team' at 09:35, 17 Oct 2016 (approved):

	'homepage' has been modified:
		Before: http://nemo.nic.uoregon.edu/wiki/NEMO#MINEMO_Checklist
		After: http://mibbi.sourceforge.net/projects/MINEMO.shtml

            

Edits to 'https://fairsharing.org/FAIRsharing.ah5f2f' by 'The FAIRsharing Team' at 15:32, 01 Aug 2016 (approved):

	'description' has been modified:
		Before: Minimal Information for Neural ElectroMagnetic Ontologies (MINEMO; formerly "MIEME" or "MINIerp") is the minimal set of experiment meta-data that is required for datasets that are used in the NEMO project.
		After: Minimal Information for Neural ElectroMagnetic Ontologies (MINEMO; formerly "MIEME" or "MINIerp") is the minimal set of experiment meta-data that is required for datasets that are used in the NEMO project.  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.