Aura FAQs

Question 1

What kind of data sources does Aura integrate?

Accepted Answer

Aura aggregates metadata from 13 prominent Finnish open data sources, including avoindata.fi, SYKE, HRI, Tilastokeskus, LUKE, and more, encompassing an estimated 1.6 TB of data.

Question 2

What is Aura and its primary purpose?

Accepted Answer

Aura is a discovery and understanding service for Finnish open data. It aggregates, normalizes, and makes over 4,400 datasets from 13+ sources accessible, functioning as an MCP-server for AI and a web service for people.

Question 3

How does Aura improve open data accessibility and understanding?

Accepted Answer

Aura facilitates natural language full-text search across diverse datasets, normalizes varied data formats (CKAN, PxWeb, OData, WFS, OpenAPI) into a unified structure, and enriches dataset information via AI-driven sessions and user contributions.

Question 4

Is Aura compatible with AI and LLM tools?

Accepted Answer

Yes, Aura serves as a standard MCP-server, enabling seamless integration with AI models like Claude, GPT, Cursor, and other MCP-compatible tools for intelligent querying and analysis of Finnish open data.

Question 5

How can users contribute to Aura's dataset information?

Accepted Answer

Users can enrich dataset details by contributing keywords, tags, data fields, extended descriptions, access instructions, and quality notes. This can be done through AI-driven MCP sessions or by submitting contributions as JSON files.

Aura

Aura

主要功能

使用案例

主要功能

使用案例