Encompassing qualitative interviews analyzing inter-agency coordination for rural power restoration after natural disasters in the United States. It was created by Rui Shao to provide context for infrastructure resilience research.
Use Cases
- Analyze interview transcripts for themes related to ad hoc collaboration during disaster recovery.
- Extract qualitative context on coordination challenges mentioned in resilience-focused interviews.
- Code interview data to identify patterns in inter-agency processes for power outage response.
Strengths
- Focuses on a specific, complex policy area: inter-agency coordination for rural power restoration.
- Provides qualitative context intended to complement quantitative resilience analyses.
- Dataset is associated with research on a significant event, the Helene Hurricane.
Limitations
- Dataset size, row count, and specific file formats are unknown, limiting assessment of scope.
- As a qualitative interview dataset, analysis requires manual coding and thematic interpretation, not direct quantitative modeling.
- Potential geographic bias limited to disaster events and coordination processes within the United States.
Provenance
- Source
- Dataverse platform, author Rui Shao.
- Collection Method
- Qualitative interviews, specific methodology unknown.
- Time Range
- null
- Freshness
- Last updated February 16, 2026.
- Geography
- United States, specifically rural areas affected by natural disasters.