> For the complete documentation index, see [llms.txt](https://docs.communityinclusion.org/training-and-technical-assistance-materials/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.communityinclusion.org/training-and-technical-assistance-materials/apr-data-fidelity-review/data-management-system.md).
# Data Management System
#### Red Flag: Access to only aggregate data reports (monthly, quarterly, or similar).
Access to individual data records is necessary to ensure data accuracy and consistency. State AT programs must have the ability to identify problems at the individual data record level either through direct access to individual records in the data system or the ability to obtain data exports/runs of individual records that can be readily produced/accessed when needed. State AT programs must ensure any data system used internally or by a subcontractor collects and aggregates data consistent with the OMB-approved APR instrument through comprehensive understanding of the data system structure and data aggregation tables. Without access to backend data tables programming structure, state AT programs will need to conduct comprehensive testing to ensure the system produces accurate aggregate data for APR reporting. The NATADS D2D system does not need this kind of testing and ongoing oversight as it was specifically developed and is maintained in conformance with the OMB-approved APR requirements.
*Last updated January 2023*
---
# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.
## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:
```
GET https://docs.communityinclusion.org/training-and-technical-assistance-materials/apr-data-fidelity-review/data-management-system.md?ask=&goal=
```
`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.