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Sensitive-Textual-Data_navy.pdf
Data Literacy Series Search
Sanitizing Sensitive Information from Textual Data
De-identifying text with human participant data is challenging due to its unstructured and sensitive nature, requiring careful measures for safe and ethical sharing. Here are eight essential steps to minimize re-identification risks while preserving reusability.
PDF - ALTTAGS: Data Ethics, De-Identification, Qualitative Data, Sensitive Data
DATE: 05-2024
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DLS-202403-ManagingHS-QualData-navy.pdf
The Intricacies of Managing Qualitative Data from Human Subject Research
Qualitative data is inherently nuanced and deeply contextual. While it offers rich interpretive possibilities, its analysis and presentation often demand considerable resources. Moreover, due to its sensitivity, managing qualitative research data obtained from human subjects—such as interviews and observations— poses distinct ethical challenges. This handout delineates key considerations, practical tips, and available resources for effectively handling this data type across its lifecycle.
PDF - ALTTAGS: Data Management, Data Sharing, Data Ethics, Qualitative Data, Human Subjects, Sensitive Data
DATE: 03-2024
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dls_n3_dataprivacy_navy_0.pdf
The Spectrum of Human Subjects' Privacy
There are different levels of data protection and different strategies for stripping out identifiers that could directly or indirectly re-identify subjects and produce inadvertent harm to them.
PDF - ALT