Expert Survey Data on Software Bottlenecks in Passive Acoustic Monitoring

Survey data and analysis code from a 2026 study on software challenges in passive acoustic monitoring. The dataset includes raw responses, processed data, and thematic coding from two rounds of expert consultation. It was authored by Martino Malerba and published under a CC-BY-4.0 license.

Use Cases

• Analyzing prioritized pain points in acoustic monitoring workflows based on expert survey scores.
• Synthesizing qualitative feedback on current strategies and emerging opportunities from follow-up survey responses.
• Replicating demographic summaries and figures using the provided R scripts.
• Identifying common themes in software bottlenecks for passive acoustic monitoring from coded survey data.

Strengths

• Includes raw and processed data from two distinct survey rounds, enabling longitudinal analysis.
• Provides full analytical R scripts for transparency and reproducibility of the study's figures.
• Published under a permissive CC-BY-4.0 license, allowing for broad reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale analysis.
• The 1.3 MB size suggests a relatively small dataset, likely limited to survey responses and code.

Provenance

Source

figshare, authored by Martino Malerba.

Collection Method

Data was gathered via expert consultation surveys, as described in the associated manuscript.

Freshness

Last updated 2026-05-29 06:10:46.