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J Biomed Inform. 2017 Jul;71:49-57. doi: 10.1016/j.jbi.2017.05.006. Epub 2017 May 10.

Developing a framework for digital objects in the Big Data to Knowledge (BD2K) commons: Report from the Commons Framework Pilots workshop.

Author information

1
Department of Pharmacological Sciences, BD2K-LINCS Data Coordination and Integration Center, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1215, New York, NY 10029, USA.
2
Health System Department of Biomedical Informatics, University of California San Diego, 9500 Gilman Dr., La Jolla, CA 92083, USA; Health Services Research, San Diego Veterans Administration Health System, San Diego, CA 92083, USA.
3
UC Santa Cruz Genomics Institute, University of California, Santa Cruz, 1156 High St., Santa Cruz, CA 95060, USA.
4
Department of Molecular and Cellular Pharmacology, University of Miami, 331461120 NW 14th Street, CRB 650 (M-857), Miami, FL 33136, USA.
5
Institute for Data Science, Universiteit Maastricht, Minderbroedersberg 4-6, 6211 LK Maastricht, Netherlands.
6
Ghent University - iMinds Research Foundation Flanders, St. Pietersnieuwstraat 33, 9000 Gent, Belgium.
7
Department of Radiological Sciences, UCLA School of Medicine, Los Angeles, CA 90095, USA; Department of Bioengineering, UCLA Henri Samueli School of Engineering, Los Angeles, CA 90095, USA.
8
Departments of Physiology, Medicine, and Bioinformatics, UCLA School of Medicine, Los Angeles, CA 90095, USA.
9
Department of Molecular and Cellular Biology, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA.
10
Department of Mathematics and Computer Science, Argonne National Laboratory, 9700 S. Cass Avenue, Argonne, IL 60439, USA.
11
Division of Genome Sciences, National Human Genome Research Institute, National Institutes of Health, 31 Center Drive, MSC 2152, 9000 Rockville Pike, Bethesda, MD 20892, USA.
12
Department of Pharmacological Sciences, BD2K-LINCS Data Coordination and Integration Center, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1215, New York, NY 10029, USA. Electronic address: avi.maayan@mssm.edu.

Abstract

The volume and diversity of data in biomedical research have been rapidly increasing in recent years. While such data hold significant promise for accelerating discovery, their use entails many challenges including: the need for adequate computational infrastructure, secure processes for data sharing and access, tools that allow researchers to find and integrate diverse datasets, and standardized methods of analysis. These are just some elements of a complex ecosystem that needs to be built to support the rapid accumulation of these data. The NIH Big Data to Knowledge (BD2K) initiative aims to facilitate digitally enabled biomedical research. Within the BD2K framework, the Commons initiative is intended to establish a virtual environment that will facilitate the use, interoperability, and discoverability of shared digital objects used for research. The BD2K Commons Framework Pilots Working Group (CFPWG) was established to clarify goals and work on pilot projects that address existing gaps toward realizing the vision of the BD2K Commons. This report reviews highlights from a two-day meeting involving the BD2K CFPWG to provide insights on trends and considerations in advancing Big Data science for biomedical research in the United States.

KEYWORDS:

Accessibility; Big Data; FAIR principles; Findability; Interoperability; Reusability

PMID:
28501646
PMCID:
PMC5545976
DOI:
10.1016/j.jbi.2017.05.006
[Indexed for MEDLINE]
Free PMC Article

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