Merge pull request #1 from CDCgov/ap66-adding_disclaimer_and_minor_readme_change

Ap66-adding_disclaimer_and_minor_readme_change

Author: cdc-ap66

DISCLAIMER.md

@@ -0,0 +1,23 @@
+# DISCLAIMER
+Use of this service is limited only to **non-sensitive and publicly available
+data**. Users must not use, share, or store any kind of sensitive data like
+health status, provision or payment of healthcare, Personally Identifiable
+Information (PII) and/or Protected Health Information (PHI), etc. under **ANY**
+circumstance.
+
+Administrators for this service reserve the right to moderate all information
+used, shared, or stored with this service at any time. Any user that cannot
+abide by this disclaimer and Code of Conduct  may be subject to action, up to
+and including revoking access to services.
+
+The material embodied in this software is provided to you "as-is" and without
+warranty of any kind, express, implied or otherwise, including without
+limitation, any warranty of fitness for a particular purpose. In no event shall
+the Centers for Disease Control and Prevention (CDC) or the United States (U.S.)
+government be liable to you or anyone else for any direct, special, incidental,
+indirect or consequential damages of any kind, or any damages whatsoever,
+including without limitation, loss of profit, loss of use, savings or revenue,
+or the claims of third parties, whether or not CDC or the U.S. government has
+been advised of the possibility of such loss, however caused and on any theory
+of liability, arising out of or in connection with the possession, use or
+performance of this software.

README.md

@@ -1,18 +1,21 @@
-# CFA Scenarios DataOps
+# CFA DataOps
 
 ![](docs/assets/badges/coverage.svg)
 
 ## Overview
 
-This project provides ETL (Extract, Transform, Load) pipelines for various data scenarios within the CDC's Center for Analytics (CFA). It currently includes an end-to-end ETL pipeline data, demonstrating best practices for data processing within the CFA environment.
+This project provides data tools and low friction access to versioned datasets within CDC's Center for Forecasting and Outbreak Analytics (CFA) virtual private cloud (VPC). It includes end-to-end ETL pipelines for configured data sources, custom workflows, schema validation patterns, and submodules that expand common data visualization and modeling/interpolation patterns. The project demonstrates best practices for data processing within the CFA environment.
 
 ### Key Features
 
 - Configuration-driven ETL pipelines using TOML files
-- SQL-based transformations using DuckDB
+- SQL-based transformations using DuckDB, or Polar's built-in SQL context
 - Azure Blob Storage integration for raw and transformed data storage
-- Utilities for timestamping and template loading
+- Utilities for time-stamping and template loading
 - Data validation and quality checks
+- Custom workflows
+- Tooling for easy access to Socrata Open Data API (e.i., data.cdc.gov)
+  (copied and modified from [here](https://github.com/CDCgov/cfasodapy))
 
 ## Getting started
 
@@ -89,6 +92,7 @@ python3 -m cfa.dataops.workflows.covid.run -b
 
 - Thomas Hladish <utx5@cdc.gov> (CDC/OD/ORR/CFA)
 - Phillip Rogers <ap66@cdc.gov> (CDC/OD/ORR/CFA)(CTR)
+- Ryan Raasch <xng3@cdc.gov> (CDC/OD/ORR/CFA)(CTR)
 
 ## Disclaimers
 

changelog.md

@@ -8,14 +8,25 @@ The versioning pattern is `YYYY.MM.DD.micro(a/b/{none if release})
 
 ---
 
+## [2025.07.24.0a]
+
+### Updated
+
+- Modified `README.md` with edits, new repo name, and added ryan to list of maintainers
+
+### Added
+
+- `DISCLAIMER.md`
+
+
 ## [2025.07.21.0a]
 
-## Updated
+### Updated
 
 - refactored and updated namespace imports to generalize from `cfa.scenarios.dataops` --> `cfa.dataops`
 - included `list_datasets()` function to `cfa.dataops.__init__.py` for easy import
 
-## Added
+### Added
 
 - Documentation:
   - `docs/dataset_developer.md`

docs/assets/badges/coverage.svg

@@ -1,6 +1,6 @@
 [project]
 name = "cfa.dataops"
-version = "2025.07.21.0a"
+version = "2025.07.24.0a"
 description = "Data cataloging, ETL, modeling, verification, and validation for CFA"
 authors = [
     {name = "Phil Rogers", email = "ap66@cdc.gov"},