51. Developing a Framework for Digital Objects in the Big Data to Knowledge (BD2K) Commons
- Author
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Stephan C. Schürer, Michel Dumontier, Kathleen M. Jagodnik, Peipei Ping, Ajay Pillai, Simon Koplev, Alex A. T. Bui, Ruben Verborgh, Sherry L. Jenkins, Lucila Ohno-Machado, Ravi Madduri, Neil J. McKenna, Benedict Paten, Avi Ma'ayan, RS: FSE DACS IDS, and Institute of Data Science
- Subjects
0301 basic medicine ,Big Data ,Biomedical Research ,Knowledge management ,Computer science ,Big data ,Interoperability ,Datasets as Topic ,Health Informatics ,computer.software_genre ,Article ,Translational Research, Biomedical ,FAIR Principles ,03 medical and health sciences ,0302 clinical medicine ,DESIGN ,Journal Article ,Humans ,Reusability ,FAIR principles ,Information Dissemination ,business.industry ,Findability ,USABILITY ,Usability ,Accessibility ,Data science ,United States ,Discoverability ,Computer Science Applications ,Data sharing ,Knowledge ,030104 developmental biology ,National Institutes of Health (U.S.) ,Virtual machine ,BIOINFORMATICS DATABASES ,IBCN ,business ,Commons ,computer ,GENOMICS ,030217 neurology & neurosurgery - 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. (C) 2017 Elsevier Inc. All rights reserved.
- Published
- 2017