UC Data Management Security and Ethics Policies for AI DNA Project
Description
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The startup AI-DNA has chosen your group to develop their data management policy (chapter 3), data security policy (chapter 7), and data ethics policy (chapter 2). AI-DANA operates in the biotech space analyzing the DNA of amateur and professional athletes with the goal of discovering genome variations. This process is called predictive genomic DNA profiling.
Kambouris, et al. (2012) explains the goal of predictive genomic DNA profiling as “Predictive Genomic DNA Profiling for athletic performance reveals genetic variations that may be associated with better suitability for endurance, strength and speed sports, vulnerability to sports-related injuries and individualized nutritional requirements.”
First, AI-DNA requests the group to research at least five laws governing the handling of this type of data, for example the Health Insurance Portability and Accountability Act (HIPAA). This section should be at least 5 pages in length (not including title, reference page, or any images/diagrams) and in APA form. Please include at least 3 sources other than the text.
For part two, at least ten policies need to be created for each of the three requested. In addition a section on how the effectiveness of the three policies will be measured using both quantitative and qualitative methods (various chapters).
Next the creation of a data governance structure starting with the Chief Data Officer at the top of the chain of command. Please include a diagram along with the responsibilities of each role (chapter 3).
Create a PowerPoint presentation using the attached template to be used in your meeting with the owners of AI-DNA. The presentation should be at least 10 slides in length and will be presented on Sunday.
Reference
Kambouris M, Ntalouka F, Ziogas G, Maffulli N. Predictive genomics DNA profiling for athletic performance. Recent Pat DNA Gene Seq. 2012 Dec;6(3):229-39.
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