Data De-identification with the sdcMicro R Package
Data De-identification with the sdcMicro R Package
Data de-identification/anonymization exercise with a toy dataset using the sdcMicro Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation) R Package. Package documentation: https://cran.r-project.org/web/packages/sdcMicro. This deposit includes" 1) an R markdown file `southpark-exercise.Rmd` that instructors can adapt and learners can follow along and complete, 2) the required toy dataset crafted for this exercise, `southpark-sdc.csv`, and 3) the answer key `southpark-sdc-key.pdf`.
- University of California, Santa Barbara United States
direct identifiers, personal identifiable information, PII, sensitive data, de-identification, indirect identifiers, R, disclosure control, sdcMicro, anonymization
direct identifiers, personal identifiable information, PII, sensitive data, de-identification, indirect identifiers, R, disclosure control, sdcMicro, anonymization
citations The total number of citations received by all articles of the researcher of interest.0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!