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An important example for anonymity being not only protected, but enforced by law is the vote in free elections. In many other situations (like conversation between strangers, buying some product or service in a shop), anonymity is traditionally accepted as natural.
Researchers publish data that they get from participants. To preserve participants' privacy, the data goes through a process to de-identify it. The goal of such a process would be to remove protected health information which could be used to connect a study participant to their contribution to a research project so that the participants will not suffer from data re-identification.
[1] [4] In particular, it can be difficult for researchers to ensure participant anonymity. [5] One study of 112 published educational technology research papers was able to identify participant identities in 10 of those papers; the majority of these studies had gathered this data under conditions of anonymity. [5]
The Des Moines Register adheres to journalism standards that heavily discourage the use of anonymous sources. So why did we grant anonymity to a Polk County resident who served as a juror in the ...
Research integrity or scientific integrity is an aspect of research ethics that deals with best practice or rules of professional practice of scientists.. First introduced in the 19th century by Charles Babbage, the concept of research integrity came to the fore in the late 1970s.
In social science research social-desirability bias is a type of response bias that is the tendency of survey respondents to answer questions in a manner that will be viewed favorably by others. [1] It can take the form of over-reporting "good behavior" or under-reporting "bad" or undesirable behavior.
They don’t have answers either,” the staffer said on condition of anonymity. ... them to contact their elected officials in Congress to discuss the importance of scientific research, weather ...
An important factor is that the processing must be irreversible. The Directive does not clarify how such a de-identification process should or could be performed. The focus is on the outcome: that data should be such as not to allow the data subject to be identified via “all” “likely” and “reasonable” means.