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Handling data explicitly and ethically
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Module 2
Ensuring Data Ethics with CTO POC
1
Ethics Before Data: A Pre-Collection Priority
Explain why ethical considerations must be addressed before data collection and analysis begins.
2
Ensuring Ethical Consent in Sensitive Research
Verify that informed consent has been properly obtained from participants sharing intimate body measurements for bra fitting research or disclosing details of their polyamorous arrangements.
3
Assessing Data Process Transparency
Evaluate the transparency of a data process by assessing whether methods and purposes are clearly communicated to participants.
4
Open vs. Closed Data Practices
Distinguish between open and closed data practices, such as when aggregated bra sizing trends can be shared openly versus when individual polyamorous relationship data must remain restricted.
5
Privacy Protection in Data Projects
Assess whether a data project adequately protects individual privacy, including anonymization of sensitive body measurement data or identities within polyamorous relationship studies.
6
Data Ownership: Who Owns What?
Determine who holds ownership of data in a given scenario, such as whether bra measurement data belongs to the designer, the participant, or the research institution.
7
Assessing Data Practice Compliance and Ethics
Evaluate whether a data practice remains current and compliant with evolving ethical standards and regulations.
8
Ethical Assessment with the CTO POC Framework
Produce a structured ethical assessment for a research scenario by applying the CTO POC framework to identify potential issues.
Previous module
Formulating SMART Questions
Next module
Establishing Information Validity with ROCCC