Mining Industry
Filings Data-Quality Audit: Extraction Coverage, Linkage Gaps, and Integrity Controls
An audit of the live mining-filings extraction corpus, separating decision-grade records from the rows that need filtering or remediation.
$3,50034 pages · PDF · 2.1 MB
Summary
This audit measures the live extraction corpus against the quality bar required for investment workflows, quantifying failed extractions, future-dated and malformed timestamps, missing company and project linkage, and the drill and economics outliers that distort naive screens. It distinguishes records that are ready for use from those that need filtering or remediation, and ranks the issues by how much they affect downstream analysis. The result is an evidence base for process integrity rather than a claim of completeness.
Updated Mar 2026 · By Mining Terminal Research
What's inside
Table of contents
- 01Executive Summary
- 02Live Dataset Snapshot: Volume, Document Types, and Coverage
- 03Document-Type Coverage by Filing Class
- 04Failed Extraction Rate and Root Causes
- 05Date Integrity and Timestamp Anomalies
- 06Company and Project Linkage Gaps
- 07Drill Dataset Outlier Controls
- 08Economics Dataset Credibility Filters
- 09Cleaning Priority Matrix
- 10Decision-Grade Records Versus Records Needing Remediation
- 11Appendix: 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
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