Compare the key aspects of data archival including their benefits and risks, query tools and applications, data mining, report design, and search engine design and development.
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Get it written →Compare the key aspects of data archival including their benefits and risks, query tools and applications, data mining, report design, and search engine design and development.
Research Louisiana laws for maintaining data to determine the appropriate timeframe for the archive.
What data will be archived?
Identify examples of clinical data, administrative data and demographic data
How will the data be archived?
Examples could be external hard drives, cloud servers, discs, flash drives, etc.
Where will the archived data be stored?
Onsite? External company? Storage locker?
How will the data be protected?
Passwords? Secure storage
How long will the data be archived before it is destroyed?
Again, refer to state laws and other requirements
Please include in-text citations and where you retrieved the information.
Wallen, D. (2020). Data retention policy: What it is and how to create one. https://spanning.com/blog/data-retention-policy-what-it-is-how-to-create-one/
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