- Privacy & Re-identification Risks
- Cross-referencing: Anonymised data could be combined with other datasets to re-identify individuals.
- Family privacy: Genetic and behavioral data could reveal information about living relatives.
- Legacy impact: Sensitive personal information could affect family reputation and/or relationships.
- Location history could reveal others’ patterns (frequent visitors, family members)
- Data Misuse & Security
- Commercial exploitation: Data could be sold or used for purposes beyond research.
- Security breaches: Stored data could be vulnerable to hacks or unauthorised access.
- Scope creep: Research purposes might expand beyond original consent.
- Algorithmic profiling: Data could be used to train systems that perpetuate biases.
- Ethical Concerns
- Power dynamics: Vulnerable populations might feel pressured to donate.
- Consent boundaries: Difficulty determining ownership of shared communications.
- Cultural sensitivity: Some data types might be culturally inappropriate to share.
- Historical context: Past actions/communications could be interpreted without proper context.
- Technical Challenges
- Data integrity: Digital formats may become obsolete or corrupted.
- Storage costs: Long-term preservation requires sustainable funding and has an enviromental impact.
- Integration issues: Different data formats/sources may be incompatible.
- Access control: Balancing researcher access with privacy protections.
- Social Impact
- Digital inequality: System might favor those with extensive digital footprints.
- Representation bias: Certain demographics might be over/under-represented.
- Relationship data: Communications involve multiple parties who haven’t consented.
- Historical revision: Unable to correct/contextualise past data.
