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de identification guidance

descriptionPublicationkeyboard_double_arrow_right Other literature type 21 Sep 2020 English Publisher:Zenodo

Authors: Portage COVID-19 Working Group; Kristi Thompson; Erin Clary; Lucia Costanzo; Beth Knazook; Nick Rochlin; Felicity Tayler; +9 Authors

doi: 10.5281/zenodo.4042023 , 10.5281/zenodo.4270551

de identification guidance

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Abstract

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.

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Keywords

COVID-19 Research Data Management; De-identification guidance

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Directives sur la dépersonnalisation des données
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Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	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