Open AccessResearch Resource: dkCOIN, the National Institute of Diabetes, Digestive and Kidney Diseases (NIDDK) Consortium Interconnectivity Network: A Pilot Program to Aggregate Research Resources Generated by Multiple Research Consortia
Author(s) -
Neil J. McKenna,
Christopher L. Howard,
Michael Aufiero,
Jeremy R. Easton-Marks,
David L. Steffen,
Lauren B. Becnel,
Mark A. Magnuson,
Richard A. McIndoe,
JeanPhilippe Cartailler
Publication year - 2012
Publication title -
molecular endocrinology
Language(s) - English
Resource type - Journals
eISSN - 1944-9917
pISSN - 0888-8809
DOI - 10.1210/me.2012-1077
Subject(s) - biology , interconnectivity , informatics , resource (disambiguation) , computational biology , bioinformatics , computer science , political science , computer network , artificial intelligence , law
The National Institute of Diabetes, Digestive and Kidney Diseases (NIDDK) supports multiple basic science consortia that generate high-content datasets, reagent resources, and methodologies, in the fields of kidney, urology, hematology, digestive, and endocrine diseases, as well as metabolic diseases such as diabetes and obesity. These currently include the Beta Cell Biology Consortium, the Nuclear Receptor Signaling Atlas, the Diabetic Complications Consortium, and the Mouse Metabolic Phenotyping Centers. Recognizing the synergy that would accrue from aggregating information generated and curated by these initiatives in a contiguous informatics network, we created the NIDDK Consortium Interconnectivity Network (dkCOIN; www.dkcoin.org). The goal of this pilot project, organized by the NIDDK, was to establish a single point of access to a toolkit of interconnected resources (datasets, reagents, and protocols) generated from individual consortia that could be readily accessed by biologists of diverse backgrounds and research interests. During the pilot phase of this activity dkCOIN collected nearly 2000 consortium-curated resources, including datasets (functional genomics) and reagents (mouse strains, antibodies, and adenoviral constructs) and built nearly 3000 resource-to-resource connections, thereby demonstrating the feasibility of further extending this database in the future. Thus, dkCOIN promises to be a useful informatics solution for rapidly identifying useful resources generated by participating research consortia.