Abstract
Advances and significant national infrastructure investment into clinical information systems are spurring a demand for secondary use and sharing of clinical and genetic data for translational research. In this paper, we describe the need for technically leveraged policy models and governance strategies to support data sharing between a range of disparate stakeholders where trust is not easily established or maintained.
| Original language | English (US) |
|---|---|
| Title of host publication | ACM International Conference Proceeding Series |
| Pages | 15-20 |
| Number of pages | 6 |
| DOIs | |
| State | Published - 2010 |
| Externally published | Yes |
| Event | 2010 Workshop on Governance of Technology, Information, and Policies GTIP 2010, in Conjunction with the 26th Annual Computer Security Applications Conference - Austin, TX, United States Duration: Dec 7 2010 → Dec 7 2010 |
Other
| Other | 2010 Workshop on Governance of Technology, Information, and Policies GTIP 2010, in Conjunction with the 26th Annual Computer Security Applications Conference |
|---|---|
| Country | United States |
| City | Austin, TX |
| Period | 12/7/10 → 12/7/10 |
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Keywords
- Clinical data
- Compliance with government regulations
- Data sharing
- Policy governance
- Translational health research
- Trust
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Software
Cite this
Building a chain of trust : Using policy and practice to enhance trustworthy clinical data discovery and sharing. / Anderson, Nicholas; Edwards, Kelly.
ACM International Conference Proceeding Series. 2010. p. 15-20.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Building a chain of trust
T2 - Using policy and practice to enhance trustworthy clinical data discovery and sharing
AU - Anderson, Nicholas
AU - Edwards, Kelly
PY - 2010
Y1 - 2010
N2 - Advances and significant national infrastructure investment into clinical information systems are spurring a demand for secondary use and sharing of clinical and genetic data for translational research. In this paper, we describe the need for technically leveraged policy models and governance strategies to support data sharing between a range of disparate stakeholders where trust is not easily established or maintained.
AB - Advances and significant national infrastructure investment into clinical information systems are spurring a demand for secondary use and sharing of clinical and genetic data for translational research. In this paper, we describe the need for technically leveraged policy models and governance strategies to support data sharing between a range of disparate stakeholders where trust is not easily established or maintained.
KW - Clinical data
KW - Compliance with government regulations
KW - Data sharing
KW - Policy governance
KW - Translational health research
KW - Trust
UR - http://www.scopus.com/inward/record.url?scp=79951623072&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79951623072&partnerID=8YFLogxK
U2 - 10.1145/1920320.1920323
DO - 10.1145/1920320.1920323
M3 - Conference contribution
AN - SCOPUS:79951623072
SN - 9781450304467
SP - 15
EP - 20
BT - ACM International Conference Proceeding Series
ER -