CMS Data Research Dataset

The CMS Data Research Dataset is a comprehensive collection of CMS data feeds from cms.data.gov/data-research, dating back to 2001. This dataset offers:

• A view per feed with aligned and properly casted file attributes

• Automatic updates when new feed files are received

• Addition of new views as new CMS data research feeds are published

• As of December 2023, 16 feeds with over 2500 files

• Available on the Snowflake Marketplace

A free trial is available, providing access to the dataset for fourteen days and including the first 1,500 rows from every feed file table.

See the full list of feeds included in the CMS Data Research Catalog.

Dataset Features

• Extensive coverage of CMS data feeds

• Automatic daily updates

• Properly aligned and casted attributes for each feed

• Views that are automatically updated with new feed files

• Expandable dataset with new feeds added as they become available

• Easy access through the Snowflake Marketplace

Data Quality and Maintenance

At Dataplex Consulting & Data Products, we prioritize data quality:

• Daily monitoring of ingestion and ETL jobs

• Automated data quality checks to prevent bad data from reaching customers

• Timely updates when CMS publishes new information

• Consistent data structure across feeds for ease of use

Business Applications

The CMS Data Research Dataset can be utilized for various purposes, including:

• Enriching or augmenting existing datasets

• Analyzing published feed metrics over time

• Performing segmentation analysis

• Training machine learning models

• Conducting geospatial analysis

Example Use Cases

1. Analyzing enrollment counts by plan

2. Tracking eligible and enrolled individuals in Part-D Plans by location

3. Monitoring Special Needs Dual-Eligible Enrollment Counts over time

4. Examining enrollment metrics by state

5. Accessing the most recent plan crosswalk data

Data Structure

The dataset includes 16 feeds as of December 2023:

1. 2015 Part C&D Plan Crosswalk

2. Enrollment by Contract

3. MA Contract Service Area

4. MA Enrollment by SCC

5. MA Enrollment by SCP

6. MA State/County Penetration

7. Monthly Enrollment by CPSC

8. Monthly Enrollment by Plan

9. Monthly Enrollment by State

10. PBP Benefits 2017

11. PDP Contract Service Area

12. PDP Enrollment by SCC

13. PDP Enrollment by SCP

14. PDP State/County Penetration

15. SNP Comprehensive Report

16. State Service Area

Entity Relationship Diagram

CMS Data Research Schema

Sample Queries

Query the Enrollment Count by Plan as of October 2019

select s.organization_type,
       s.plan_id,
       s.plan_type,
       s.organization_name,
       s.enrollment
from dwv.feeds f
join dwv.feeds_files ff
  on f.id = ff.feed_id
join dwv.MONTHLY_ENROLLMENT_BY_PLAN s
  on ff.id = s.file_id
 and f.id = s.file_feed_id
 and ff.file_report_period = to_date('2019-10-01','YYYY-MM-DD')
order by s.enrollment desc nulls last;

Query the Eligible and Enrolled in Part-D Plans in West Baton Rouge by Month

select ff.file_report_period,
       s.eligibles,
       enrolled,
       penetration
from dwv.feeds f
join dwv.feeds_files ff
  on f.id = ff.feed_id
join dwv.PDP_STATE_COUNTY_PENETRATION s
  on ff.id = s.file_id
 and f.id = s.file_feed_id
 and state_name = 'Louisiana'
 and county_name = 'West Baton Rouge'
order by file_report_period;

Support and Contact

For any questions or assistance with the CMS Data Research Dataset:

• Email: [e-mail]

• Daily monitoring and support provided by the Dataplex Consulting & Data Products team

About Dataplex

Dataplex Consulting & Data Products delivers turnkey, analytics-ready data products that make complex public and commercial data easy to use across modern data platforms. Our data pipelines include automated quality checks and active monitoring to ensure timely, reliable, and well-structured data that is ready for downstream analytics, machine learning, and operational use.

In addition to data products, Dataplex provides data engineering and analytics consulting services to organizations of all sizes. We bring deep, hands-on experience supporting both early-stage companies and large enterprises, helping teams build scalable data platforms, improve data reliability, and become more data-driven.