The Evidence Ontology (ECO) is a controlled vocabulary that describes types of scientific evidence within the realm of biological research that can arise from laboratory experiments, computational methods, manual literature curation, and other means. Researchers can use these types of evidence to support assertions about research subjects that result from scientific research, such as scientific conclusions, gene annotations, or other statements of fact.

Marcus Chibucos & Michelle Giglio

An open source ISA software suite and an extensible hierarchical data structure implemented by a growing number of international public resources. It caters to data as diverse as stem cell, toxicogenomics, environmental gene surveys, microbial diversity studies, and a variety of metabolomics and metagenomics-based studies. But it maintains cross-domain compatibility in the way the experimental context is described.

International collaborative effort

NEMO is developing ontologies for representation and integration of event-related brain potentials (ERPs). To support this work, we are developing an integrated tool environment for storage and management of ERP data, ontologies, and ontology-based markup and analysis of data.

NEMO core (Gwen Frishkoff, Robert Frank, Paea LePendu, Haishan Liu, Dejing Dou, Allen Malony, Jason Sydes, Nathan Dunn); NEMO ERP Consortium (Gwen Frishkoff, Tim Curran, Dennis Molfese, John Connolly, Kerry Kilborn, Chuck Perfetti)