| Title |
Public–Private Partnerships in Cloud-Computing Services in the Context of Genomic Research
|
|---|---|
| Published in |
Frontiers in Medicine, January 2017
|
| DOI | 10.3389/fmed.2017.00003 |
| Pubmed ID | |
| Authors |
Palmira Granados Moreno, Yann Joly, Bartha Maria Knoppers |
| Abstract |
Public-private partnerships (PPPs) have been increasingly used to spur and facilitate innovation in a number of fields. In healthcare, the purpose of using a PPP is commonly to develop and/or provide vaccines and drugs against communicable diseases, mainly in developing or underdeveloped countries. With the advancement of technology and of the area of genomics, these partnerships also focus on large-scale genomic research projects that aim to advance the understanding of diseases that have a genetic component and to develop personalized treatments. This new focus has created new forms of PPPs that involve information technology companies, which provide computing infrastructure and services to store, analyze, and share the massive amounts of data genomic-related projects produce. In this article, we explore models of PPPs proposed to handle, protect, and share the genomic data collected and to further develop genomic-based medical products. We also identify the reasons that make these models suitable and the challenges they have yet to overcome. To achieve this, we describe the details and complexities of MSSNG, International Cancer Genome Consortium, and 100,000 Genomes Project, the three PPPs that focus on large-scale genomic research to better understand the genetic components of autism, cancer, rare diseases, and infectious diseases with the intention to find appropriate treatments. Organized as PPP and employing cloud-computing services, the three projects have advanced quickly and are likely to be important sources of research and development for future personalized medicine. However, there still are unresolved matters relating to conflicts of interest, commercialization, and data control. Learning from the challenges encountered by past PPPs allowed us to establish that developing guidelines to adequately manage personal health information stored in clouds and ensuring the protection of data integrity and privacy would be critical steps in the development of future PPPs. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 91 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 19% |
| Researcher | 13 | 14% |
| Student > Master | 10 | 11% |
| Student > Postgraduate | 5 | 5% |
| Student > Doctoral Student | 5 | 5% |
| Other | 15 | 16% |
| Unknown | 26 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 12% |
| Business, Management and Accounting | 11 | 12% |
| Biochemistry, Genetics and Molecular Biology | 9 | 10% |
| Medicine and Dentistry | 8 | 9% |
| Agricultural and Biological Sciences | 6 | 7% |
| Other | 21 | 23% |
| Unknown | 25 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 January 2017.
All research outputs
#15,431,277
of 22,940,083 outputs
Outputs from Frontiers in Medicine
#3,022
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Outputs of similar age
#254,640
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Outputs of similar age from Frontiers in Medicine
#19
of 33 outputs
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