Data are made anonymous by the below-mentioned techniques. These techniques are often used for making a data set completely untraceable.
We use VPN to make an Internet user anonymous but in the case of data set, it is a little bit different.
An anonymous set of data is considered to promote an unbiased approach. This process takes a few steps to be followed carefully.
Data are Made Anonymous by These Steps
Removing all the Identifiers mentioned in the Data
In this step, we remove all the identifiers present in the data set. This step is important to hide the source of information.
Sign Confidentiality Agreement Between Team Members
This step is crucial to assure the anonymity of data. All the team members and researchers must sign a confidentiality agreement to maintain the anonymity of the data.
A Secure Location to Add up Key-Linking Names to Responses
Data are Made Anonymous by adding up key linking names to responses in a secure location. This is one of the important steps to maintain anonymity.
Aggregate Form Should be used to Provide the Researched Data to Publications
This step is also very important to make the data anonymous. The data should be handed over to the publications in the aggregate form.
The data must be cross-checked before and after any of the above steps.
The data are made anonymous by the steps
Removing the Identifiers Carefully, Signing Confidentiality Agreement, Putting Key-Linking names to responses in a secure location and the researched data should be handed over to the publications in aggregate form.