The institutions comprising the NCBO have a long tradition of training tomorrow's investigators. Stanford University has had more than 25 years of continual support from the National Library of Medicine for its training program in biomedical informatics and is widely recognized as providing a model for graduate education in this discipline. The Mayo Clinic, the University at Buffalo, and the University of Victoria all have long and distinguished track records in training students and postdoctoral fellows in disciplines related to our Center's work. The NCBO will collaborate with these existing programs to advance training in biomedical ontology as it applies to practical problems in biomedicine. As a national center, we also seek to improve ontology training across the biomedical research community. Taken together, our Education and Training activities will create an interactive community of graduate students, post-doctoral fellows, visiting scholars, and other scientists who understand the critical role of biomedical ontology and are positioned to communicate that role to the larger biomedical research community.
| 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 |
| MartÃnez-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 |
| MartÃnez-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 |
| Scudamore, Cheryl L; Soilleux, Elizabeth J; Karp, Natasha A et al. (2016) Recommendations for minimum information for publication of experimental pathology data: MINPEPA guidelines. J Pathol 238:359-67 |
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