Title |
Sharing big biomedical data
|
---|---|
Published in |
Journal of Big Data, June 2015
|
DOI | 10.1186/s40537-015-0016-1 |
Pubmed ID | |
Authors |
Arthur W Toga, Ivo D Dinov |
Abstract |
The promise of Big Biomedical Data may be offset by the enormous challenges in handling, analyzing, and sharing it. In this paper, we provide a framework for developing practical and reasonable data sharing policies that incorporate the sociological, financial, technical and scientific requirements of a sustainable Big Data dependent scientific community. Many biomedical and healthcare studies may be significantly impacted by using large, heterogeneous and incongruent datasets; however there are significant technical, social, regulatory, and institutional barriers that need to be overcome to ensure the power of Big Data overcomes these detrimental factors. Pragmatic policies that demand extensive sharing of data, promotion of data fusion, provenance, interoperability and balance security and protection of personal information are critical for the long term impact of translational Big Data analytics. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Sao Tome and Principe | 1 | 8% |
Indonesia | 1 | 8% |
Spain | 1 | 8% |
United States | 1 | 8% |
Belgium | 1 | 8% |
Unknown | 8 | 62% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 77% |
Scientists | 3 | 23% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 2 | 1% |
Malaysia | 1 | <1% |
France | 1 | <1% |
Italy | 1 | <1% |
India | 1 | <1% |
United Kingdom | 1 | <1% |
Luxembourg | 1 | <1% |
Unknown | 135 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 31 | 22% |
Student > Master | 22 | 15% |
Researcher | 16 | 11% |
Student > Bachelor | 12 | 8% |
Other | 10 | 7% |
Other | 30 | 21% |
Unknown | 22 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 49 | 34% |
Engineering | 16 | 11% |
Agricultural and Biological Sciences | 9 | 6% |
Medicine and Dentistry | 9 | 6% |
Business, Management and Accounting | 8 | 6% |
Other | 22 | 15% |
Unknown | 30 | 21% |