Open Data Model for Research Access
Context
Deciding how to share Vector's collected data and analysis outputs with the research community while respecting privacy and responsible use.
Decision
Implement a two-tier access model: open aggregated data and restricted message-level data for verified researchers.
Alternatives Considered
Fully open dataset
Pros
- Maximum transparency
- Easier for researchers to access
Cons
- Risk of misuse for harassment or targeting
- Privacy concerns for channel administrators
Fully restricted access
Pros
- Maximum control
- Lower risk
Cons
- Limits research impact
- Reduces trust in findings
API-only access
Pros
- Can rate-limit and monitor usage
- Always up-to-date
Cons
- Higher infrastructure cost
- Limits offline analysis
Reasoning
The two-tier model balances openness with responsibility. Aggregated data (narrative trends, cluster summaries) enables public scrutiny of our findings. Message-level data requires verification to prevent misuse while still enabling deeper research. This approach follows established OSINT ethics guidelines.