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The concern for the data custodian is the risk that an adversary will try to re-identify the disclosed data.
Social desirability bias is of particular concern for the data from interviews about the IEC materials, as the FCHVs may have felt compelled to give positive feedback.
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Secondly, alliance of biotechnology with informational and communicational technologies discovered the human body represented as the data, which provoked the concerns for the data protection, confidentiality and privacy.
Finally, the solution to the original problem is accomplished by continuous data reduction, without concern for the original data distribution characteristics.
Job security is not a chief concern, especially for the data scientist.
This is particularly a concern for the US data where a two-day average was used.
Also, the speed as well as the quality of clustering is of major concern for the high dimensional data clustering [4].
As an important concern for the late toxicity data, a prolonged observation period is required.
Both false negatives and false positives are concerned for the PPI data quality [ 33, 34].
One problem with standard anomaly detection approaches is that there is little concern for the context of the data content.
The most discussed issues concern the algorithms used for the data normalization [ 31, 32], whose goal is to eliminate differences between samples that originate from technical aspects of the microarray handling which may confound the biological differences in a given experimental setup.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com