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Article details
Title
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
Published in
SLAS Discovery, January 2014
DOI 10.1177/1087057113517139
Pubmed ID
Authors
Abstract

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.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Sweden 1 2%
Unknown 52 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 13 25%
Student > Ph. D. Student 8 15%
Student > Master 8 15%
Student > Bachelor 5 9%
Student > Doctoral Student 3 6%
Other 5 9%
Unknown 11 21%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 8 15%
Chemistry 6 11%
Engineering 5 9%
Computer Science 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 4 8%
Other 16 30%
Unknown 10 19%