Our Center's effectiveness will be measured by the ability of the biomedical community to access ontologies, ontology metadata, and ontology-based annotations of biomedical data sets;to develop. new ontology-aware tools and applications;and to incorporate methods that ensure conformance with knowledge-representation standards in the creation of new content. The achievement of these goals depends on a substantial infrastructure to allow access to the Center's services and to support the Center's own research and development activities. The Stanford Center for Biomedical Informatics Research has more than 35 years of experience in the management of wide-ranging computational resources and in providing outstanding infrastructure to support advanced research and development in biomedical informatics. Over the past four years, we have developed a. flexible and scalable infrastructure to host the NCBO resources and to support our collaborators and users, including mechanisms to serve ontology content created by biomedical researchers from around the world. Most of this infrastructure is already adequate to support the projected capacity and scope of the Center. We will build on this infrastructure to provide a new generation of NCBO services and tools, addressing the key challenges of data management, and fast and reliable access to our content.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54HG004028-10
Application #
8737922
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
$220,126
Indirect Cost
$91,828
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

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