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|Betreuer=Scott Thiebes
 
|Betreuer=Scott Thiebes
 
|Forschungsgruppe=Critical Information Infrastructures
 
|Forschungsgruppe=Critical Information Infrastructures
|Abschlussarbeitsstatus=Offen
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|Abschlussarbeitsstatus=Abgeschlossen
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|Beginn=2022/2/24
 
|Beschreibung DE=<strong>Background:</strong>
 
|Beschreibung DE=<strong>Background:</strong>
  
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Thiebes, S.; Kleiber, G.; Sunyaev, A. (2017a): Cancer Genomics Research in the Cloud: A Taxonomy of Genome Data Sets. In: GenoPri’17, Orlando, Florida, Oct. Available at: https://www.researchgate.net/profile/Scott_Thiebes/publication/320284184_Cancer_Genomics_Research_in_the_Cloud_A_Taxonomy_of_Genome_Data_Sets/links/59db6c68a6fdcc0ffd1a9e97/Cancer-Genomics-Research-in-the-Cloud-A-Taxonomy-of-Genome-Data-Sets.pdf
 
Thiebes, S.; Kleiber, G.; Sunyaev, A. (2017a): Cancer Genomics Research in the Cloud: A Taxonomy of Genome Data Sets. In: GenoPri’17, Orlando, Florida, Oct. Available at: https://www.researchgate.net/profile/Scott_Thiebes/publication/320284184_Cancer_Genomics_Research_in_the_Cloud_A_Taxonomy_of_Genome_Data_Sets/links/59db6c68a6fdcc0ffd1a9e97/Cancer-Genomics-Research-in-the-Cloud-A-Taxonomy-of-Genome-Data-Sets.pdf
|Beschreibung DE=<strong>Background:</strong>
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|Beschreibung EN=<strong>Background:</strong>
  
 
Following the general hype about cloud computing, adoption of cloud services in several industries is on the rise. Especially in the health care sector, cloud services are being deployed ever so frequently in order to account for the increased need to support medical processes with modern information technology. However, the health care sector is traditionally slow in adopting innovative information technology and as such cloud computing is still a relatively new technological innovation in health care. To this end, we are especially interested in theses related to the adoption of cloud services in several health care scenarios (e.g., genomics), protection of health-related data in cloud computing environments, and meaningful use of cloud computing in health care.
 
Following the general hype about cloud computing, adoption of cloud services in several industries is on the rise. Especially in the health care sector, cloud services are being deployed ever so frequently in order to account for the increased need to support medical processes with modern information technology. However, the health care sector is traditionally slow in adopting innovative information technology and as such cloud computing is still a relatively new technological innovation in health care. To this end, we are especially interested in theses related to the adoption of cloud services in several health care scenarios (e.g., genomics), protection of health-related data in cloud computing environments, and meaningful use of cloud computing in health care.
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Thiebes, S.; Kleiber, G.; Sunyaev, A. (2017a): Cancer Genomics Research in the Cloud: A Taxonomy of Genome Data Sets. In: GenoPri’17, Orlando, Florida, Oct. Available at: https://www.researchgate.net/profile/Scott_Thiebes/publication/320284184_Cancer_Genomics_Research_in_the_Cloud_A_Taxonomy_of_Genome_Data_Sets/links/59db6c68a6fdcc0ffd1a9e97/Cancer-Genomics-Research-in-the-Cloud-A-Taxonomy-of-Genome-Data-Sets.pdf
 
Thiebes, S.; Kleiber, G.; Sunyaev, A. (2017a): Cancer Genomics Research in the Cloud: A Taxonomy of Genome Data Sets. In: GenoPri’17, Orlando, Florida, Oct. Available at: https://www.researchgate.net/profile/Scott_Thiebes/publication/320284184_Cancer_Genomics_Research_in_the_Cloud_A_Taxonomy_of_Genome_Data_Sets/links/59db6c68a6fdcc0ffd1a9e97/Cancer-Genomics-Research-in-the-Cloud-A-Taxonomy-of-Genome-Data-Sets.pdf
|Beschreibung EN=<strong>Background:</strong>
 
 
Due to the availability of large volumes of genomic data, increasing numbers of genomics researchers are turning to the cloud to overcome the deficits in storage and processing resources of traditional IT. As a result, various platforms that allow for performing genomic analyses in cloud computing environments have emerged during the past few years (i.e., Galaxy Cloud, CloudDOE, DNAnexus, etc.). For researchers, the amount of available options to store and process genomic data in the cloud and the inherent sensitivity of genomic data make it difficult to find and select an appropriate cloud service that fits their needs and is best suited for their research endeavor.
 
 
 
<strong>Objective(s):</strong>
 
 
The objective of this thesis is to develop a framework for the selection of appropriate genomic cloud services according to individual researchers needs. For this the student working on this thesis will be provided extant research results (in form of a genomics data set taxonomy as well as an overview of cloud security requirements and measures). The student will be tasked to analyze extant genomic cloud services with the help of this data, develop the framework and implement a prototype frontend that maps the developed framework.
 
 
 
<strong>Introductory literature</strong>
 
 
Stein, L. D. (2010). “The case for cloud computing in genome informatics.” Genome Biology (11:5), pp. 207-213.
 
 
Chung, W.-C., Chen, C.-C., Ho, J.-M., Lin, C.-Y., Hsu, W.-L., Wang, Y.-C., Lee, D. T., Lai, F., Huang, C.-W. and Chang, Y.-J. (2014). “CloudDOE: A User-Friendly Tool for Deploying Hadoop Clouds and Analyzing High-Throughput Sequencing Data with MapReduce.” PLoS ONE (9:6), p. e98146.
 
 
Subashini, S.; Kavitha, V. (2011). A survey on security issues in service delivery models of cloud computing. Journal of Network and Computer Applications, 34(1), 1–11.
 
 
Venter, H. S.; Eloff, J. H. P. (2003). A taxonomy for information security technologies. Computers and Security, 22(4), 299–307.
 
 
Thiebes, S.; Kleiber, G.; Sunyaev, A. (2017a): Cancer Genomics Research in the Cloud: A Taxonomy of Genome Data Sets. In: GenoPri’17, Orlando, Florida, Oct.
 
 
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Aktuelle Version vom 24. Februar 2022, 09:16 Uhr



Digital Health: Cloud Computing in Health Care





Informationen zur Arbeit

Abschlussarbeitstyp: Bachelor
Betreuer: Scott Thiebes
Forschungsgruppe: Critical Information Infrastructures

Archivierungsnummer: 4288
Abschlussarbeitsstatus: Abgeschlossen
Beginn: 24. Februar 2022
Abgabe: unbekannt

Weitere Informationen

Background:

Following the general hype about cloud computing, adoption of cloud services in several industries is on the rise. Especially in the health care sector, cloud services are being deployed ever so frequently in order to account for the increased need to support medical processes with modern information technology. However, the health care sector is traditionally slow in adopting innovative information technology and as such cloud computing is still a relatively new technological innovation in health care. To this end, we are especially interested in theses related to the adoption of cloud services in several health care scenarios (e.g., genomics), protection of health-related data in cloud computing environments, and meaningful use of cloud computing in health care.


Objective(s):

Possible topics include, but are not limited to:

  • Security and privacy of health care cloud services
  • Comparison/evaluation of cloud services in genomics
  • Cloud service adoption decisions in genomics

This is an umbrella topic since topics of interest change rapidly. Students are encouraged to propose a topic of interest to them within the topic area.


Introductory literature:

Mell, P., & Grance, T. (2011). The NIST definition of cloud computing. Available at: http://faculty.winthrop.edu/domanm/csci411/Handouts/NIST.pdf

Gao, F., Thiebes, S., & Sunyaev, A. (2018). Rethinking the Meaning of Cloud Computing for Health Care: A Taxonomic Perspective and Future Research Directions. Journal of medical Internet research, 20(7), e10041. Available at: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6060303/

Zhang, R., & Liu, L. (2010, July). Security models and requirements for healthcare application clouds. In 2010 IEEE 3rd International Conference on cloud Computing (pp. 268-275). IEEE. Available at: https://ieeexplore.ieee.org/document/5557983

Rodrigues, J. J., De La Torre, I., Fernández, G., & López-Coronado, M. (2013). Analysis of the security and privacy requirements of cloud-based electronic health records systems. Journal of medical Internet research, 15(8), e186. Available at: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3757992/

Stein, L. D. (2010). “The case for cloud computing in genome informatics.” Genome Biology (11:5), pp. 207-213. Available at: https://genomebiology.biomedcentral.com/articles/10.1186/gb-2010-11-5-207

Thiebes, S.; Kleiber, G.; Sunyaev, A. (2017a): Cancer Genomics Research in the Cloud: A Taxonomy of Genome Data Sets. In: GenoPri’17, Orlando, Florida, Oct. Available at: https://www.researchgate.net/profile/Scott_Thiebes/publication/320284184_Cancer_Genomics_Research_in_the_Cloud_A_Taxonomy_of_Genome_Data_Sets/links/59db6c68a6fdcc0ffd1a9e97/Cancer-Genomics-Research-in-the-Cloud-A-Taxonomy-of-Genome-Data-Sets.pdf