5 Matching Annotations
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journals.sagepub.com journals.sagepub.com
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There have been several recent cases where de-identified data that was released publicly was able to be re-identified, or where data that was assumed to have no identifying features could be correlated with specific populations.
Are the risks that it provides worth the effort of releasing the data to the public? if so why or why not
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The proposed changes will include privacy safeguards in the form of best practices for protecting sensitive data, which IRBs can use as a list of acceptable practices
What are the current ideas for these privacy safe guards, even if they aren't written there must at least be a concept.
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human data is treated as a substrate for testing systems, not the object of interest in itself.
In what ways does this human data differ from the object itself.
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Of course, a case can be made that academic researchers should have access to public datasets in order to fully understand their potential and risk
If academic researchers have access to these data sets what kinds of risk is there too it.?
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While these principles get the bulk of attention, perhaps the most consequential contribution for fields like data science is the attempt to define the boundary between research and practice.
So the with the attempt to define the boundary between research and practice where is the line drawn
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