Filings Data Quality Audit: Mining Extraction Coverage, Linkage Gaps, and Data Integrity
A commercial-grade QA audit of the live mining filings corpus, focused on what can be trusted, what must be filtered, and what is ready to sell.
Report Summary
Mining Terminal built this report from the live extraction layer to show clients exactly where the filings corpus is strong, where it is noisy, and which issues matter for investment workflows. The report quantifies failed extractions, future-dated rows, missing company and project linkage, and drill or economics outliers that can distort screens if they are not handled properly. It is designed for funds, publishers, and data buyers that need evidence of process integrity before they rely on the dataset for decision-making.
What's Inside
Table of Contents
- 1.Executive Summary
- 2.Live Dataset Snapshot
- 3.Document-Type Coverage by Filing Class
- 4.Failed Extraction Rate and Root Causes
- 5.Date Integrity and Timestamp Anomalies
- 6.Company and Project Linkage Gaps
- 7.Drill Dataset Outlier Controls
- 8.Economics Dataset Credibility Filters
- 9.Cleaning Priority Matrix
- 10.What Can Be Sold Now vs What Needs Remediation
- 11.Appendix: QA Rules and Methodology
Charts & Data Tables
- •Filing volume by document type
- •Failed extraction rate and confidence distribution
- •Future-dated filing exception table
- •Linkage gap summary across core tables
- •Drill outlier counts by rule
- •Economics outlier distribution and IRR flags
- •Ready-to-publish vs needs-remediation matrix
What's Included
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