Title |
Security and privacy requirements for a multi-institutional cancer research data grid: an interview-based study
|
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Published in |
BMC Medical Informatics and Decision Making, June 2009
|
DOI | 10.1186/1472-6947-9-31 |
Pubmed ID | |
Authors |
Frank J Manion, Robert J Robbins, William A Weems, Rebecca S Crowley |
Abstract |
Data protection is important for all information systems that deal with human-subjects data. Grid-based systems--such as the cancer Biomedical Informatics Grid (caBIG)--seek to develop new mechanisms to facilitate real-time federation of cancer-relevant data sources, including sources protected under a variety of regulatory laws, such as HIPAA and 21CFR11. These systems embody new models for data sharing, and hence pose new challenges to the regulatory community, and to those who would develop or adopt them. These challenges must be understood by both systems developers and system adopters. In this paper, we describe our work collecting policy statements, expectations, and requirements from regulatory decision makers at academic cancer centers in the United States. We use these statements to examine fundamental assumptions regarding data sharing using data federations and grid computing. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 2 | 50% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Practitioners (doctors, other healthcare professionals) | 2 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 13 | 8% |
Pakistan | 1 | <1% |
United Kingdom | 1 | <1% |
Iceland | 1 | <1% |
Germany | 1 | <1% |
Japan | 1 | <1% |
Spain | 1 | <1% |
Croatia | 1 | <1% |
Poland | 1 | <1% |
Other | 0 | 0% |
Unknown | 132 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 33 | 22% |
Student > Ph. D. Student | 28 | 18% |
Student > Master | 21 | 14% |
Other | 11 | 7% |
Student > Bachelor | 9 | 6% |
Other | 35 | 23% |
Unknown | 16 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 35 | 23% |
Computer Science | 35 | 23% |
Social Sciences | 17 | 11% |
Nursing and Health Professions | 9 | 6% |
Business, Management and Accounting | 8 | 5% |
Other | 31 | 20% |
Unknown | 18 | 12% |