Plugin Evaluation Open Data Repository

This folder is a curated data repository for the plugin evaluation study. It is intended for journal review, public archiving, or deposit in a service such as OSF, Zenodo, or an institutional repository.

Contents

• data/: de-identified analysis-ready tables and an audit file.
• metadata/: condition coding, column-level data dictionary, and repository notes.
• code/: rebuild script and open-science notes copied from the analysis folder.
• MANIFEST.csv: file inventory with sizes and SHA-256 checksums.

Analysis Sample

The analysis-ready files use 30 participants, labelled s01 to s30. Participant s31 is present in the source ratings files but excluded from the final analysis sample because no matching demographics row or tapping data folder is available.

Main Data Files

File	Description
data/demographics_30_participants.csv	De-identified participant-level demographics and human-matched parameter values.
data/ratings_long_30_participants.csv	Trial-level ratings for perceived humanness and enjoyment.
data/tapping_trial_summary_30_participants.csv	Trial-level tapping summaries derived from raw tapping files.
data/condition_summary_30_participants.csv	Condition-level summary statistics.
data/data_audit_30_participants.json	Audit output from the table rebuild process.

Reproducibility

The released package can be checked without installing the analysis stack:

python3 code/validate_repository.py

This validates the manifest hashes, data-table row counts, condition-code table, and audit totals.

The raw-data rebuild script is included at code/rebuild_open_science_tables.py for auditability. It requires the private full project workspace containing raw ratings workbooks, raw tapping CSV files, and the demographics workbook. From the parent folder that contains both this repository and Plugin Evaluation Project, run:

python3 code/rebuild_open_science_tables.py \
  --project-root "../Plugin Evaluation Project" \
  --out-dir data

Install the optional raw-rebuild dependencies first:

python3 -m pip install -r code/requirements-rebuild.txt

Data Sensitivity

This repository package uses de-identified, analysis-ready files. The full local project contains raw tapping files, ratings workbooks, demographic workbooks, and experiment logs. Those source files have not been copied into this curated repository package by default.

Before public release, review demographic variables and any local source files against the study consent terms, ethics approval, and target repository policy.

License

Choose and add a data license before public deposit. Common choices include CC BY 4.0 for reusable research data or CC0 for public-domain dedication where appropriate.