Privacy reproducibility package

Full reproducibility package for the AMCIS 2026 paper "Benchmarking Privacy Compliance in EU Crypto-Asset Markets: A Quantitative Analysis of GDPR and MiCA Implementation" by Cordoba Otalora, Khalid, and Themistocleous (University of Nicosia; University of Agder / Singular Logic). The study is the first systematic quantitative benchmark of Crypto-Asset Service Provider (CASP) privacy compliance in the early post-MiCA period. Privacy policies of 24 CASPs across 12 EU member states were retrieved between 3 and 16 March 2025, coded against a 14-item rubric (5 categories: Transparency & Clarity, Consent & User Rights, Crypto-Specific Measures, Data Security & Transfers, Accountability) with category weights 20/25/30/15/10 percent, and analysed using composite scoring, cross-country ANOVA, repeated-measures ANOVA, and Pearson correlations against regulatory-maturity indicators. The initial sampling pool contained 27 CASPs; the analytic sample was reduced to 24 by capping at most four CASPs per country to prevent any single jurisdiction from dominating the analysis. This package is the end-to-end trail from raw policy text to final composite score. It contains (a) the 14-item scoring instrument with regulatory anchors and category weights (01_rubric.csv); (b) 24 structured analysis files, one per CASP, with score, one-line analytical rationale, and verbatim justification quote for each of the 14 rubric items (analysis/entity*a.json); (c) the flattened 24 × 14 = 336-row item-level scoring matrix (07_item_level_matrix.csv); (d) 24 archived privacy-policy texts used as coding inputs (documents/); (e) entity-level composite scores with ranks (02_entity_scores.csv); (f) category and country aggregates, correlations with regulatory/market variables, and four-scheme weighting-sensitivity analysis (03–06); (g) the three figures published in the paper; and (h) full analysis notes for reproduction in Python or R. Coding protocol: an LLM-assisted first-pass coder produced an initial score, analytical rationale, and verbatim justification quote for each item; two human coders then independently reviewed and revised every score against the policy text. Inter-coder reliability on a 20 percent double-coded subsample reached Cohen's kappa ≥ 0.80 across all items (Landis and Koch 1977), with consensus resolution of discrepancies. All 24 composite scores reported in the paper reproduce exactly (to ±0.01) from the item-level matrix supplied here. The package is released under CC-BY-4.0.