Data Methodology & Evidence Standards
This is the umbrella index for every methodology page I publish. Each entry documents how a specific dataset or evidence record is built: the sources, the normalization rules, the scoring logic, and the quality-control procedure. If you cite our data, you should be able to audit how we produced it. That is the entire premise of this hub.
Umbrella Doctrine
Pillar I Made Visible
This hub is the flagship expression of the Andrade Method’s first pillar — the Forensic Foundation. Pillar I’s working premise is that liability positions hold up only when the underlying evidence can withstand defense scrutiny. A dataset nobody can audit fails that test. Publishing the methodology alongside the data is how we keep ours in a different category.
Every child page below follows the same discipline: named source categories, a written public-records request sequence where applicable, a normalization rule that excludes unsourced entries, a categorical scoring rubric that does not invent numeric precision, and a QC pass that distinguishes verified rows from pending ones.
Indexed Methodology Pages
Browse Published Methodologies
Each card below links to a full methodology for a specific published dataset or evidence register. New entries are added as the companion datasets ship.
Ayd Mill Road decay timeline methodology
Six-step build process behind the Ayd Mill Road pothole and decay timeline: source identification, public-records request sequence, normalization, decay-scoring rubric, freeze-thaw temporal bucketing, and QC pass.
Read methodology →Crash heatmap dataset methodology
How the Saint Paul motor vehicle crash heatmap is assembled from MnDOT and local crash data — source categories, cleaning rules, aggregation windows, and the update cadence that keeps the map current.
Read methodology →Nursing home violation registry methodology
Inspection-data sourcing, scoring criteria, and provenance rules behind the nursing home violation registry. Documents how state inspection records are normalized into a comparable register.
Read methodology →Each methodology has a companion dataset that implements it: the Ayd Mill Road pothole and road decay timeline, the St. Paul motor vehicle crash heatmap and injury patterns, and the St. Paul nursing home neglect and violation registry.
Adjacent Resource Categories
Where Methodology Connects
Methodology pages sit inside a broader resource library. The adjacent categories below carry the forensic-foundation discipline into other evidence and preservation workflows.
Datasets
Published datasets each methodology documents.
Tools
Evidence-preservation and case-support tools.
Processes
Step-by-step preservation and intake protocols.
Checklists
Printable checklists for evidence and intake.
Logic & Corpus
Decision trees and correction datasets.
All Resources
Full index of the resource library.
Standards Snapshot
Evidence Standards We Apply
- Named sources only. Every row ties to a retrievable public record, published report, or cited document.
- No fabricated precision. Scoring rubrics are categorical where the underlying data is categorical.
- Auditable QC. Verification rules are published alongside the data, not kept internal.
- Living documents. When records change, dependent rows are re-run through the QC pass and the update is logged.