The guidance below is intended to help Canadian researchers minimize disclosure risk when sharing data collected from human participants. If you use any of the following techniques to anonymize your data, please include this information in your documentation and README file. For transparency, it should be clear how the dataset was modified to protect study participants.
ACM Computing Classification System: GeneralLiterature_MISCELLANEOUS
COVID-19 Research Data Management; De-identification guidance
COVID-19 Research Data Management; De-identification guidance
ACM Computing Classification System: GeneralLiterature_MISCELLANEOUS
The guidance below is intended to help Canadian researchers minimize disclosure risk when sharing data collected from human participants. If you use any of the following techniques to anonymize your data, please include this information in your documentation and README file. For transparency, it should be clear how the dataset was modified to protect study participants.