Details
| Original language | English |
|---|---|
| Title of host publication | Medinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics |
| Publisher | IOS Press |
| Pages | 1339-1343 |
| Number of pages | 5 |
| Edition | PART 1 |
| ISBN (print) | 9781607505877 |
| Publication status | Published - 2010 |
| Event | 13th World Congress on Medical and Health Informatics, Medinfo 2010 - Cape Town, South Africa Duration: 12 Sept 2010 → 15 Sept 2010 |
Publication series
| Name | Studies in Health Technology and Informatics |
|---|---|
| Number | PART 1 |
| Volume | 160 |
| ISSN (Print) | 0926-9630 |
| ISSN (electronic) | 1879-8365 |
Abstract
Natural scientists such as physicists pioneered the sharing of computing resources, which led to the creation of the Grid. The inter domain transfer process of this technology has hitherto been an intuitive process without in depth analysis. Some difficulties facing the life science community in this transfer can be understood using the Bozeman's "Effectiveness Model of Technology Transfer". Bozeman's and classical technology transfer approaches deal with technologies which have achieved certain stability. Grid and Cloud solutions are technologies, which are still in flux. We show how Grid computing creates new difficulties in the transfer process that are not considered in Bozeman's model. We show why the success of healthgrids should be measured by the qualified scientific human capital and the opportunities created, and not primarily by the market impact. We conclude with recommendations that can help improve the adoption of Grid and Cloud solutions into the biomedical community. These results give a more concise explanation of the difficulties many life science IT projects are facing in the late funding periods, and show leveraging steps that can help overcoming the "vale of tears".
Keywords
- Grid computing, Healthgrid, Technology transfer
ASJC Scopus subject areas
- Engineering(all)
- Biomedical Engineering
- Medicine(all)
- Health Informatics
- Health Professions(all)
- Health Information Management
Sustainable Development Goals
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Medinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics. PART 1. ed. IOS Press, 2010. p. 1339-1343 (Studies in Health Technology and Informatics; Vol. 160, No. PART 1).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Reaching for the cloud
T2 - 13th World Congress on Medical and Health Informatics, Medinfo 2010
AU - Mohammed, Yassene
AU - Dickmann, Frank
AU - Sax, Ulrich
AU - Von Voigt, Gabriele
AU - Smith, Matthew
AU - Rienhoff, Otto
PY - 2010
Y1 - 2010
N2 - Natural scientists such as physicists pioneered the sharing of computing resources, which led to the creation of the Grid. The inter domain transfer process of this technology has hitherto been an intuitive process without in depth analysis. Some difficulties facing the life science community in this transfer can be understood using the Bozeman's "Effectiveness Model of Technology Transfer". Bozeman's and classical technology transfer approaches deal with technologies which have achieved certain stability. Grid and Cloud solutions are technologies, which are still in flux. We show how Grid computing creates new difficulties in the transfer process that are not considered in Bozeman's model. We show why the success of healthgrids should be measured by the qualified scientific human capital and the opportunities created, and not primarily by the market impact. We conclude with recommendations that can help improve the adoption of Grid and Cloud solutions into the biomedical community. These results give a more concise explanation of the difficulties many life science IT projects are facing in the late funding periods, and show leveraging steps that can help overcoming the "vale of tears".
AB - Natural scientists such as physicists pioneered the sharing of computing resources, which led to the creation of the Grid. The inter domain transfer process of this technology has hitherto been an intuitive process without in depth analysis. Some difficulties facing the life science community in this transfer can be understood using the Bozeman's "Effectiveness Model of Technology Transfer". Bozeman's and classical technology transfer approaches deal with technologies which have achieved certain stability. Grid and Cloud solutions are technologies, which are still in flux. We show how Grid computing creates new difficulties in the transfer process that are not considered in Bozeman's model. We show why the success of healthgrids should be measured by the qualified scientific human capital and the opportunities created, and not primarily by the market impact. We conclude with recommendations that can help improve the adoption of Grid and Cloud solutions into the biomedical community. These results give a more concise explanation of the difficulties many life science IT projects are facing in the late funding periods, and show leveraging steps that can help overcoming the "vale of tears".
KW - Grid computing
KW - Healthgrid
KW - Technology transfer
UR - http://www.scopus.com/inward/record.url?scp=78649503428&partnerID=8YFLogxK
U2 - 10.3233/978-1-60750-588-4-1339
DO - 10.3233/978-1-60750-588-4-1339
M3 - Conference contribution
AN - SCOPUS:78649503428
SN - 9781607505877
T3 - Studies in Health Technology and Informatics
SP - 1339
EP - 1343
BT - Medinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics
PB - IOS Press
Y2 - 12 September 2010 through 15 September 2010
ER -