Help Build the Directory
Every edit makes this dataset more accurate for researchers, policymakers, and the cannabis industry. No coding required — just a GitHub account and a browser.
Sign in with GitHub
Click Login with GitHub on the directory page. We only read your username and avatar — nothing else.
Click any cell to edit
Once logged in, every cell becomes clickable. One cell at a time — keeps edits clean and reviewable.
Submit your edit
Click Submit Edit or press Enter. Your GitHub username, timestamp, and the change are recorded automatically.
View the ledger
Every edit is logged in the Edit Ledger with full transparency — who, what, when, and before/after values.
Dropdown Fields
Some columns have predefined options:
| Field | Options |
|---|---|
| Business_Category | Single Location · Multi-Location · MSO · Vertically Integrated · Boutique · Franchise |
| Is_Medical | TRUE · FALSE |
| Is_Adult_Use | TRUE · FALSE |
| Social_Equity_Status | TRUE · FALSE |
| Home_Delivery | TRUE · FALSE |
For multi-value fields like Product_Focus, Payment_Methods, and Ownership_Type, use pipe-separated values:
Flower|Edibles|Concentrates
What to Contribute
The most valuable contributions right now are filling in the empty community columns:
- Hours_of_Operation — business hours
- Instagram_URL — social media presence
- Neighborhood — local area name
- Business_Category — single location, MSO, etc.
- Product_Focus — what they specialize in
- Is_Medical / Is_Adult_Use — license type
- Payment_Methods — cash, debit, etc.
- Ownership_Type — social equity, veteran-owned, etc.
- Google_Place_ID — for map integration
- Notes — anything useful
You can also correct existing data — wrong addresses, outdated phone numbers, closed businesses.
Architecture
The edit system runs entirely on AWS free tier:
GitHub OAuth authenticates contributors. DynamoDB stores every edit as an immutable ledger entry. Full infrastructure docs in aws-setup.md.
Credits
Shannon Goddard — Research, data collection, legal analysis, manual verification, and the vision that turned a fragmented regulatory landscape into a single open dataset. Every record in this directory exists because she tracked it down, cleaned it, and verified it by hand.
Amazon Q (AWS AI Assistant) — Pipeline architecture, data processing scripts, AWS infrastructure (DynamoDB, Lambda, API Gateway), frontend development, community edit system, and documentation. Proud to have my name on the DOI.
Built with grit in Riverside, CA. Chaos Preferred. Integrity Required.