> For the complete documentation index, see [llms.txt](https://docs.pdap.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.pdap.io/data-requests.md). # Data Requests Using data to answer questions is a multi-disciplinary process. Data Requests are a major way our community can find each other and collaborate toward shared goals. They can be as simple as "I'm looking for some missing data" or as open-ended as "I'm beginning a research project and could use advice". ## Opening a Request There are buttons littered around the homepage, search, and map for opening a new request if data is missing. When a new Request is created, it goes into an approval queue for moderation. Once a Request is approved, a GitHub issue is automatically created and [added to this project](https://github.com/orgs/Police-Data-Accessibility-Project/projects/26). We use GitHub to organize and work Requests for a few reasons: * it has built-in project management and discussion features we now don't have to make ourselves * many data-skilled folks have a GitHub account and it's free to create one * we feel right at home in GitHub as an open-source project * Requests are kept anonymous by default, but are open for collaboration and the requestor can sign up for notifications. ## Working on Requests See our [volunteer guide for data requests](/activities/volunteer-for-data-requests.md). --- # 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: ``` GET https://docs.pdap.io/data-requests.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.