# Information Hub
*Last updated: 26 May 2026*
Information Hub is a research data management platform for collecting, storing, analysing, and sharing data. It brings all your project resources into one place so your team can collaborate without moving data between tools.
The Information Hub home screen
## Key Features
* **Projects** -- The central building block. Each project groups your data, files, team members, and tools together under one roof.
* **Forms** -- Build mobile-friendly surveys and data capture forms. Collect data in the field, online or offline.
* **Tables** -- Store and manage structured data. Import spreadsheets, edit records, and export in common formats.
* **Dashboards** -- Create visual reports and charts from your tables and forms.
* **Storage** -- Upload and organise files such as images, documents, and datasets.
* **Manager** -- Plan and track work with kanban-style task boards.
* **Wiki** -- Write and share project documentation using rich text and Markdown.
* **Apps** -- Publish shareable, public-facing views of your dashboards, forms, and wiki pages for end-users who do not need a full account.
## How to Access
Information Hub is available as:
* **Web app** -- [app.informationhub.io](https://app.informationhub.io) (works in any modern browser)
* **Progressive Web App (PWA)** -- Install directly from your browser on desktop or mobile
* **Native mobile apps** -- Download "IH" (full app) or "IH Go" (lite, for end-users) from the Google Play Store or Apple App Store
| | |
| ------------------ | :-----------------------------------------------------------------: |
| Information Hub | |
| Information Hub Go | |
## Quick Links
{% content-ref url="/pages/o4a2yPKUatEb7FWJvc50" %}
[Getting Started](/getting-started.md)
{% endcontent-ref %}
{% content-ref url="/pages/nkAHo9onJrs2KX4QmTGM" %}
[Home](/home.md)
{% endcontent-ref %}
{% content-ref url="/pages/tRlmxhYT90VEKoHgqDZW" %}
[Project](/project.md)
{% endcontent-ref %}
## For AI Agents and LLMs
This documentation is available in machine-readable formats for AI tools and coding agents:
* **llms.txt** -- An index of all documentation pages with titles and URLs. Use this to discover relevant pages quickly.\
[docs.informationhub.io/llms.txt](https://docs.informationhub.io/llms.txt)
* **llms-full.txt** -- The full content of the entire documentation site in a single file, ready for ingestion as context.\
[docs.informationhub.io/llms-full.txt](https://docs.informationhub.io/llms-full.txt)
* **Markdown pages** -- Append `.md` to any page URL to retrieve its content as Markdown. For example:\
`https://docs.informationhub.io/project/forms.md`
* **MCP Server** -- Connect your AI tool (Claude Desktop, Cursor, VS Code, etc.) to the Model Context Protocol endpoint for structured access to these docs:\
`https://docs.informationhub.io/~gitbook/mcp`
These are provided automatically by GitBook and stay in sync with the published documentation. No configuration is required.
## Contact
For questions or support, reach out at .
* Website: [informationhub.io](https://www.informationhub.io)
* Privacy Policy: [app.informationhub.io/privacy-policy](https://app.informationhub.io/privacy-policy)
* Terms of Service: [app.informationhub.io/terms-and-conditions](https://app.informationhub.io/terms-and-conditions)
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# Agent Instructions: 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.informationhub.io/readme.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.