The National Center for Biomedical Ontology is eager to collaborate with the scientific community and to assist researchers in advancing their research. We believe that many areas of scientific investigation can be enabled by our Center’s technologies and methods, and we welcome a broad range of collaborating proposals that require the use of biomedical ontology as a core component of their research plan. For information on collaborative options not addressed on this page, see How to Collaborate.
The NIH has released two program announcements (PARs) for R01 and R21 grant applications to support collaborations with the National Centers for Biomedical Computing (NCBCs), including collaboration with the NCBO. It is important to remember that the review of collaborating R01 and R21 proposals and subsequent funding decisions are the responsibilities of the NIH, and not the responsibility of our Center. This program announcement is for projects from individual investigators or small groups to collaborate with the National Centers for Biomedical Computing. The intention of the collaborating projects is to engage researchers across the nation in building an excellent biomedical computing environment, using the computational tools and biological and behavioral application drivers of the funded NCBCs as foundation stones. Please see the full funding announcements for further guidelines regarding this special class of proposals.
The NCBC collaborating R01 and R21 program outlines a number of possible interaction types, descriptions of which and examples relating to the NCBO are below.
Our current DBPs focus on (1) cardiovascular modeling using ontologies, (2) use of ontologies to analyze data with the goal of discovering new genomic relationships in the rat model organism, and (3) using ontologies to search for new nanoparticles, and integrating new sources of nanoparticle data into the NCBO Resource Index. Past DBPs have focused on using ontologies to annotate and analyze genomic data in the fruitfly and zebrafish, with the goal of using homology information and model-organism data to suggest the genetic basis for human disease, and also on using ontologies to search, explore, and analyze clinical trial evidence. We would welcome new collaborations in closely related areas: for example, projects that apply novel reasoning methods to analysis of genonomic or cardiovascular-disease data using ontologies, or that use ontologies to characterize nanoparticles or biomedical data in new ways.
We are very interested in expanding the scope of applicability of ontologies and of the use of ontologies for annotation of experimental data. We are particularly eager to identify new applications of the Center’s methodologies in clinical and translational research, for example, in the design of clinical trials and clinical guidelines, in the administration of protocol-based care, and in the application of evidence-based medicine.
We are interested in developing algorithms and data-processing methods that will help scientists use meta-data annotations of experimental data to understand the current state of biomedical knowledge, to generate new hypotheses, and to identify new avenues of investigation. We would welcome collaborations that lead to the submission of software components to the NCBO that could ultimately be incorporated into BioPortal and other technologies, bringing new analytic and visualization capabilities to the NCBO community.
We are interested in helping groups of researchers to develop their own ontologies and in relating such ontologies to other existing information resources. We would welcome collaborations in which new ontologies or important annotated data sets are shared with the Center’s user community and linked to other resources in order to bring about new system capabilities that enhance information retrieval or improve data analysis.
There are many ways in which ontologies have been used to enhance scientific discovery, but there still are many approaches to explore. We are eager to collaborate in ontology-driven projects that develop new methods for natural-language processing, for automated mapping and indexing of the published literature, for summarizing scientific results, for hypothesis generation and automated reasoning, among other exciting avenues of research.
While the Center is developing a wide range of tools and services to manage and integrate ontologies and meta-data annotations, many biomedical investigators may require services that are more specialized than those that our Center currently offers. We welcome collaborations that will create additional tools and services that we can integrate into NCBO software offerings and thereby increase the reach of ontology-based technologies within the biomedical community.
There are many approaches for summarizing and analyzing both scientific data and the published literature. The Center welcomes collaborations for integrating these tools into BioPortal and other software services, or for creating new tools and services that help scientists to understand their scientific results in terms of standard ontologies and informtion resources.
For all collaborations with the Center in which annotated experimental data are collected, it is expected that the proposal will specify that the annotated data will be listed in the NCBO Resource Index, and that new ontologies or ontologies that are extended for the collaborating project will be hosted by BioPortal. If the potential collaborating investigator plans to develop analysis methods, services, and tools that will work with ontologies or annotations archived by the NCBO, then these software products should be delivered to the Center to be included in the NCBO’s technology offerings.
We have created a standardized process to facilitate and encourage those investigators who would like to pursue collaborative proposals with the Center. The overall objective is to give all potential investigators a fair and equal opportunity to prepare a competitive “collaborating R01” proposal. The process will enable our Center to track and manage requests for collaboration, and to gather other necessary information. This process is summarized here:
The Center's resources currently are fully devoted to technology development and to research support for our driving biological projects. Therefore, the costs for new collaborations must be built into new grant applications through well justified subcontracts to Center investigators. The NIH does not provide the Center with direct funds that are set aside for collaboration. The Center can provide the following collaborative resources as part of its core mission:
The Center adheres to the code and data sharing policies specified in the initial National Centers for Biomedical Computing RFA. Collaborators must be willing to agree to the policies as specified in the collaborating R01 and R21 Program Announcements.
The National Center for Biomedical Ontology is one of the National Centers for Biomedical Computing supported by the NIH Roadmap.
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