Education of trainees and dissemination to the broader biomedical community are highly interrelated tasks. Our dissemination goal is to educate our colleagues in the biomedical community about the use of ontology-oriented tools in general and about the Center's technology in particular. NCBO differs from other current NCBCs because our computational technology is only as useful as the ontological content that our technology supports. NCBO thus has a special obligation to promote the construction of useful, reliable, scalable, and easily maintainable ontologies, which are at the same time biologically accurate. The NCBO seeks to transform the work of developing and using biomedical ontologies into an enterprise that is supported by computational tools that allow biomedical researchers to capture the benefits of instantaneous global collaboration made possible through the Web. Our dissemination efforts thus concentrate both on making technology available in ways that allow users to gain access to ontologies and to other formal representations of biomedical knowledge, and on assisting the community in building ontologies that are well-structured, coherently integrated, and useful to biomedical researchers. The latter is achieved by promoting maximally effective retrieval, integration, and exploitation of data and information.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54HG004028-10
Application #
8737924
Study Section
Special Emphasis Panel (ZRG1-BST-K)
Project Start
Project End
Budget Start
2014-08-01
Budget End
2015-07-31
Support Year
10
Fiscal Year
2014
Total Cost
$469,922
Indirect Cost
$129,371
Name
Stanford University
Department
Type
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305
Kamdar, Maulik R; Walk, Simon; Tudorache, Tania et al. (2018) Analyzing user interactions with biomedical ontologies: A visual perspective. Web Semant 49:16-30
van der Weyden, Louise; Arends, Mark J; Campbell, Andrew D et al. (2017) Genome-wide in vivo screen identifies novel host regulators of metastatic colonization. Nature 541:233-236
Kamdar, Maulik R; Musen, Mark A (2017) Mechanism-based Pharmacovigilance over the Life Sciences Linked Open Data Cloud. AMIA Annu Symp Proc 2017:1014-1023
Kamdar, Maulik R; Walk, Simon; Tudorache, Tania et al. (2017) BiOnIC: A Catalog of User Interactions with Biomedical Ontologies. Semant Web ISWC 10588:130-138
Martínez-Romero, Marcos; O'Connor, Martin J; Shankar, Ravi D et al. (2017) Fast and Accurate Metadata Authoring Using Ontology-Based Recommendations. AMIA Annu Symp Proc 2017:1272-1281
Martínez-Romero, Marcos; Jonquet, Clement; O'Connor, Martin J et al. (2017) NCBO Ontology Recommender 2.0: an enhanced approach for biomedical ontology recommendation. J Biomed Semantics 8:21
Kamdar, Maulik R; Musen, Mark A (2017) PhLeGrA: Graph Analytics in Pharmacology over the Web of Life Sciences Linked Open Data. Proc Int World Wide Web Conf 2017:321-329
van der Weyden, Louise; Karp, Natasha A; Swiatkowska, Agnieszka et al. (2017) Genome wide in vivo mouse screen data from studies to assess host regulation of metastatic colonisation. Sci Data 4:170129
Ochs, Christopher; Perl, Yehoshua; Geller, James et al. (2017) An empirical analysis of ontology reuse in BioPortal. J Biomed Inform 71:165-177
Nead, Kevin T; Gaskin, Greg; Chester, Cariad et al. (2016) Androgen Deprivation Therapy and Future Alzheimer's Disease Risk. J Clin Oncol 34:566-71

Showing the most recent 10 out of 214 publications