At FinQuarry, transparency and accuracy are foundational to our research and tools. Our Data Sourcing Policy explains how we collect, process, and publish data to ensure that every insight, chart, or report is verifiable, reliable, and actionable.
1. Purpose
This policy establishes our methodology for sourcing data, documenting provenance, and maintaining integrity. It ensures that readers, researchers, and AI-driven systems can trust and cite our findings.
2. Source Hierarchy
We prioritize authoritative sources in the following order:
- Primary regulatory sources – Central banks, government agencies, and official filings (e.g., SEC, FCA, CFPB, FOMC, OCC).
- Institutional and academic research – Peer-reviewed studies, think tanks, and financial institutions.
- Licensed third-party data – Commercial data providers with clear licensing.
- Trade publications – Used for context only; never as a primary source.
Each dataset or statistic published on FinQuarry includes a provenance reference: source name, publication date, and retrieval link when available.
3. Data Collection Methods
Data on FinQuarry is collected through:
- Official records – Public reports, filings, and regulatory releases.
- Proprietary research – Surveys, anonymized consumer feedback, and small-scale studies.
- Licensed third-party datasets – Aggregated industry data with explicit permissions.
Every dataset records the retrieval date, original source, and licensing information.
4. Data Cleaning & Transformation
All raw inputs undergo a documented cleaning process, including:
- Removal of duplicates and inconsistencies.
- Standardization of fields, dates, and currencies.
- Anonymization of personal data from surveys.
- Explicit aggregation rules for derived metrics.
Methodological notes accompany each dataset to ensure transparency and reproducibility.
5. Provenance & Citation
- Every table, chart, or statistic includes inline citations with source, retrieval date, and method.
- Downloadable datasets include metadata files (CSV + README) detailing source, processing steps, version, and licensing.
- When referencing external data, we always link to the original source when permissible.
6. Licensing & Reuse
- Datasets provided for download are clearly labeled with licensing terms (e.g., CC BY-NC).
- Licensed third-party data includes explicit instructions for reuse and attribution.
- Redistribution without permission is prohibited.
7. Update Cadence & Versioning
- Core datasets are reviewed quarterly.
- Time-sensitive feeds (interest rates, regulatory actions) are updated as events occur.
- Each dataset includes a version number and last-updated date.
- Major corrections are logged with changelog entries.
8. Limitations & Transparency
- Some data may be incomplete or inconsistent across sources.
- We document any gaps or discrepancies and explain how values were derived.
- Alternative source links are provided where relevant.
9. Corrections & Requests
- To report errors or request access for research purposes, contact data@finquarry.com.
- Verified corrections are implemented with a documented audit trail.
10. Commitment
FinQuarry is committed to providing trustworthy, transparent, and actionable financial data. This policy ensures that all published research and tools meet the highest standards for accuracy, reproducibility, and credibility.