Golden Apple Russian Digital Debt Issuance: A Reliability-Sensitive Analysis Corpus

63 public-source documents form the full corpus for a reliability-sensitive socio-technical systems analysis of Golden Apple's Russian digital financial asset issuance. The dataset, authored by MENG, WEI and last updated in June 2026, includes coding files, reliability materials, and reproducible scripts. It supports transparent evidence auditing, document-level ordinal coding, and three-coder reliability analysis.

Use Cases

• Conducting reliability analysis based on the three-coder reliability materials
• Performing source-restriction robustness testing based on the graded source tables
• Auditing evidence transparency based on the public-source corpus and coding files
• Recoding construct boundaries based on the PA v4 / PA v5 recoding scripts

Strengths

• Full corpus contains 63 public-source documents for analysis
• A/B-only factual corpus consists of 34 high-grade sources (20 A-grade and 14 B-grade)
• Includes reproducibility scripts for robustness checks and recoding

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data excludes customer-level transaction data, investor records, and personal data as noted in the description

Provenance

Source

WEI MENG Dataverse

Collection Method

Compiled from public-source documents for a reliability-sensitive analysis.

Freshness

Last updated 2026-06-11 10:51:01; freshness should be verified

Geography

Russia