How is Data Masking Implemented in Catalysis Research?
There are several methods of data masking used in catalysis research:
Substitution: Replacing real data with fictitious but realistic data. Shuffling: Randomly reordering data within the dataset to mask the original information. Number and Date Variance: Modifying numbers or dates slightly to obscure the original data while maintaining its utility for analysis. Nulling Out: Replacing sensitive data fields with null values.
These techniques ensure that the masked data remains useful for research and analysis while protecting the original sensitive information.
