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J Biomol Screen. 2014 Jun;19(5):614-27. doi: 10.1177/1087057113517139. Epub 2014 Jan 17.

An Overview of the Challenges in Designing, Integrating, and Delivering BARD: A Public Chemical-Biology Resource and Query Portal for Multiple Organizations, Locations, and Disciplines.

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Broad Institute of Harvard and MIT, Cambridge, MA, USA.
University of New Mexico Center for Molecular Discovery, University of New Mexico Health Sciences Center, Albuquerque, NM, USA.
NIH Center for Advancing Translational Sciences, Rockville, MD, USA.
Center for Computational Science, University of Miami, Miami, FL, USA.
The Translational Research Institute, The Scripps Research Institute, Jupiter, FL, USA.
The Vanderbilt Specialized Chemistry Center for Accelerated Probe Development, Vanderbilt University Medical Center, Nashville, TN, USA.
Conrad Prebys Center for Chemical Genomics, Sanford|Burnham Medical Research Institute, La Jolla, CA, USA


Recent industry-academic partnerships involve collaboration among disciplines, locations, and organizations using publicly funded "open-access" and proprietary commercial data sources. These require the effective integration of chemical and biological information from diverse data sources, which presents key informatics, personnel, and organizational challenges. The BioAssay Research Database (BARD) was conceived to address these challenges and serve as a community-wide resource and intuitive web portal for public-sector chemical-biology data. Its initial focus is to enable scientists to more effectively use the National Institutes of Health Roadmap Molecular Libraries Program (MLP) data generated from the 3-year pilot and 6-year production phases of the Molecular Libraries Probe Production Centers Network (MLPCN), which is currently in its final year. BARD evolves the current data standards through structured assay and result annotations that leverage BioAssay Ontology and other industry-standard ontologies, and a core hierarchy of assay definition terms and data standards defined specifically for small-molecule assay data. We initially focused on migrating the highest-value MLP data into BARD and bringing it up to this new standard. We review the technical and organizational challenges overcome by the interdisciplinary BARD team, veterans of public- and private-sector data-integration projects, who are collaborating to describe (functional specifications), design (technical specifications), and implement this next-generation software solution.


Chemical biological database standards; visualization; web portal

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