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CCSQ D&A HOME | CDR Data Catalog | Data Roadmap | CDR Contributor Resources | Mapping DUAs to CDRArchive

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CDR Contributor Resources

This page provides resources and documentation to the Centralized Data Repository (CDR) contributors. Please explore the tabs below for information regarding Data Issue Reporting as well as CDR Data Catalog Documentation Requirements for data contributors. 

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idCDR Contributor Resources
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titleDocumentation Requirements
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This section provides information regarding CDR documentation requirements for CDR Contributors. Please explore this tab for an overview of the CDR Data Catalog, minimum requested documentation from Data Contributors, an example of an approved data dictionary documentation, as well as expectations for data contributors. 

Overview of CDR Data Catalog

The CDR Data Catalog provides a location for data contributors to make documentation available to CDR users.  The DAMOD team provides a general layout document of each schema that includes table names, column names, and datatypes for every source in Hive. This document (located under the CDR Table Layouts column) is produced when the data is made available in the CDR or if data definitions are updated. Data contributors to the CDR are responsible for providing supplemental documentation necessary to support end-users of their data.  Such examples of documentation may include:

  • Data Dictionaries

  • Data Models

  • User Guides

  • Training Documents

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Minimum Requested Documentation from Data Contributors 

Available documentation on the CDR Data Catalog will vary from source to source.  Some mature data sources will have excellent existing documentation/artifacts while newer sources may provide less.  At a minimum, the DAMOD team recommends data contributors to provide the following documents:

Document Name

Description

Necessary Information

Other Information

Data Dictionary

Data dictionaries can be various formats including Excel, PDF, and Word.  We recommend all documents provided to be 508 compliant for users.  We strongly recommend that data for columns that contain discrete, non-inferable or computed values have clear and detailed documentation.  

  • Table Name

  • Column Name

  • Column Description

  • Where Relevant - Domains of values, either listed in their entirety, or a link to a reference document

  • Data Types

  • Examples

  • Other relevant information

  • Null Option

Data Model

Data Models provide the keys for each table.  This provides users a mechanism for understanding how to join data across tables and identifying unique records (if applicable to your source).  

  • Surrogate Keys

  • Foreign Keys

  • Primary Keys

  • Indexes

Example Approved Data Dictionary

The example below meets all criteria including:

  • Table Name

  • Column Name

  • Column Description (Comment)

  • Code values for non-inferable data

  • Null Option

  • Data Type

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Expectations 

  1. Data Contributors provide updated documentation when source data changes
  2. Data Contributors provide consistent versioning on documents 
  3. Data Contributors provide accurate documentation for users
  4. Data Contributors support questions about the data and documentation
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titleData Issue Reporting
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As a data contributor, you are responsible to inform

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CDR Data Contribution Standard Operating Procedure (SOP)

This SOP provides an overview of the Centralized Data Repository (CDR) Contribution process for contributors that plan to make data available in the CDR for all organizations with an approved data usage agreement (DUA). These sources and their approved documentation will be posted to the CDR Data Catalog.

Background

The CDR provides access to CCSQ data including claims, provider, beneficiary, and other data within a secure cloud environment. The goal of the CDR is to make data available from source systems with greater accessibility, security, quality, and timeliness of data. The goal of Contribution is to allow CDR Data Contributors to make data available directly to CDR users with less data duplication.


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titleLakeHouse Data Migration


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titleGetting Started


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titleRequirements

Request Form

Submit a request through the CCSQ Data & Analytics Request Form to start the contribution process. The request will be reviewed and prioritized by the CMS Business Owners of the CDR. Use the following as a guide for what information to include in the request.

Required Information

The following information is required to be included in the request to become a contributor:

  • A short description of the data with the minimum required information.
  • The data dictionary with the minimum required information.
  • The point of contact for the contribution effort.
  • The anticipated timeline to load, validate, and release data to end users.
  • The list of any validation groups that will require access to the pre-prod data for testing.
  • The Enterprise Privacy Policy Engine (EPPE) DUA Entry associated with this data.
  • The Access Control Model

The CDR will need one of the following for support purposes to forward user inquiries specific to the data:

  • A CCSQ ServiceNow Support Group name
  • A support email address

The team will also need to know:

  • The access control model for this data (see below).
  • Whether a data catalog entry can be made for this data on the public data catalog or if access to the data documentation should be restricted.

Required Data Documentation

All documentation submitted for contributed data must meet the minimum required standards as outlined below.

Short Description

Short description of data must include the following:

  • Title - The name of the dataset or resource.
  • Domain - The category of the resource such as (eg., Clinical, Provider, Claims, Beneficiary)
  • Source - The system or activity that generates or provides the dataset.
  • Granularity - The level of data detail that the resource covers, such as Atomic, Aggregated, Hybrid
  • Load/Refresh Frequency - How often this data source will be refreshed/updated.
  • Geographic Scope - What level of geographic scope this data entails (e.g., national, regional, state, county, zip)
  • Timespan Covered - What timespan this data covers (e.g., 2019-2022)
  • Personally Identifiable Information (PII)/Protected Health Information (PHI)/Sensitive Information - Whether this data contains PII/PHI/Other Sensitive information or not.

Data Dictionary

At minimum, documentation for the data contributed to the CDR should be in the form of a data dictionary that includes:

  • Table name
  • Table description
  • Field Name (Short Name)
  • Field Name (Long Name)
  • Data Type/Length
  • Field Description (provide details)
  • Possible Values/Range
  • Partition Key
  • Comments

Data Documentation Format

Submitted data documentation should be in a comma-separated values (CSV) format that meets the required data dictionary template.

Required Data Format

The preferred data format for partnering systems is parquet due to superior performance and lower storage cost. However, CSV or JavaScript Object Notation (JSON) may also be used. This data should be stored in the partnering Application Development Organization’s (ADO's) Simple Storage Service (S3) bucket. It is also recommended to create directory versioning so that if parquet files need to be re-created, they can be created in a different version directory and not impact the current parquet files.

  • Preferred Data Format: Parquet
  • Accepted Data Formats: CSV, JSON

Access Control Model

The access control model refers to how contributors would like to restrict or grant access to the data that they are contributing. The CDR supports two access control models:

  • Automated (DUA Based)
    • Access to this data will automatically be granted to any end user organization that has the appropriate DUA entry on their DUA. Contributors will provide the DUA entry that corresponds to the contributed data.
  • Manual (Notification Based)
    • In addition to the DUA entry, access to this data is manually approved by the Business Owners of the data. End user organizations request access to the data, and we notify the Business Owners for either approval or rejection.

Contributors must  indicate which access model they would like to utilize for your data.


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CDR Onboarding Steps

Onboarding into the CDR is central to becoming a Data Contributor. If the prospective contributor is not already onboarded, see the training and onboarding page for more information.

Being onboarded into the CDR comes with the following automatically provisioned resources for the contributor's organization/group:

  • A production database/schema
  • A pre-production (test) database/schema
  • A Service Principal/Service Account

Once onboarded, the team will generate a schema specific to the contributor's BYOD data in accordance with CMS Data Taxonomy.


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Contribution Workflow

The following is a generalized workflow that outlines the steps involved in contributing to the CDR. 


PhaseStepPOC
Phase 1

Request Submitted with Required Information

Contributor

Phase 1

Onboarding Initiated (if not already onboarded)

Contributor

Phase 1

Service Principal Automatically Generated

Automated upon onboarding

Phase 2

Bring Your Own Data (BYOD) Prod and pre-PROD Schemas created

CDR

Phase 2

Elevated Service Principal granted r/w/x access

CDR

Phase 2

Data Documentation Reviewed

CDR

Phase 2

Data Catalog Entry Created (if applicable)

CDR

Phase 3 (optional)

Data published to pre-PROD schema

Contributor

Phase 3 (optional)

Green light for Validation Groups

Contributor

Phase 3 (optional)

Validation groups granted r/x access

CDR

Phase 3 (optional)

Validation period conducted

Contributor

Phase 4

Data published to PROD BYOD Schema

Contributor

Phase 4

Green light for end user access

Contributor

Phase 4

End users granted r/x access per access model

CDR

Phase 4

End user communication released

CDR





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titleContributing Data


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titleData Access

Cross Account Access

A contributor's data (parquet files) are stored in their own Simple Storage Service (S3) bucket so cross-account access must be established to allow CDR necessary access to the S3 bucket. CDR has adapted the resource-based policies and Amazon Web Services (AWS) identity and access management (IAM) policies method for accessing cross-account S3 bucket documented on AWS Support. In this case, the partnering contributor is "Account A", and CDR is "Account B".  Data encryption is highly recommended either with the standard AWS server-side encryption or custom key stores. 

Below is an example of a resource-based policy with custom key stores configuration from a partnering contributor.


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titlePartnering Contributor Resource-based Policy
{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
	        "Sid": "GrantS3BucketAccessToCDR", 
            "Action": [
                "s3:GetObject*",
				"s3:List*",
  				"s3:SelectObjectContent",
    			"kms:Encrypt",
    			"kms:Decrypt",
    			"kms:ReEncrypt*",
    			"kms:GenerateDataKey*",
    			"kms:DescribeKey"],
            "Resource": [
				"arn:aws:s3:::AccountABucketName/*",
				"arn:aws:s3:::AccountABucketName/",
				"arn:aws:s3:::AccoutA:key/AccountAKMSKey"]
        }
    ]
}


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titleCaution

A resource-based policy must be granted before external tables can be created in the CDR Hive metastore.



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Connecting to the CDR

Data Contributors may desire to contribute data to the CDR using either our suite of tools that they gain access to through onboarding or through their own external.

See the following articles for details on making inbound and outbound connections to or from the CDR.


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Validating Contributed Data

A contributor's service principle is for automated, system to system connections only. Validation should be done through user accounts associated with the designated validation group - a contributor's group will be automatically provisioned validation access.

Ensure that any users performing validation request the HCQIS Access Roles and Profile (HARP) role for the appropriate group so that they can access the data in the CDR.




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titlePost Contribution


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titleData Changes

Changes to Data or Data Documentation

Data Contributors are expected to notify the CDR team of any changes to their data or the data documentation. Submit a request through the CCSQ Data & Analytics Request Form in advance of any changes, outlining the expected changes and with any new documentation attached. 


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titleData Issues

Reporting Issues

Data Contributors are responsible for informing the Data & Analytics team when there is an issue with

your

their data.

Please submit this form below

Notify the CDR team within one business day when an issue is identified with

your

their data.

Please note that the

The following information will be needed

in order to complete this form

:

Impact
  • Impacted Data 
  • Issue Description
  • Current Actions Taken to Resolve 
  • Planned Resolution Date
  • Data Owner Technical Point of Contact
Submit this form to the Data & Analytics team by emailing it to us at HCQIS_Data@hcqis.org. Please note that you

Note that contributors are also responsible

to send

for sending follow-ups and updates via email after

this form

the issue is identified.


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titleUser Support

User Support

End users of the CDR may have questions specific to the data that Data Contributors have added that require support from a data subject matter expert (SME). Data Contributors and Data Source Owners are expected to support the end users of their data with any questions or concerns that they may have that cannot be answered through the provided documentation or the CDR support team. In such a case, end user inquiries would be routed to one of the following, to be addressed by the data source SME:

  • A CCSQ ServiceNow Support Group name
  • A support email address








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