The Open Energy Platform offers a rich collection of
energy-related datasets, organized by topic to support modeling,
analysis, and research. Each dataset includes structured data
and metadata with tags, descriptions, and quality indicators. We
develop tools to help users explore, visualize, and analyze
data, using linked data and semantic web standards to ensure
interoperability and reuse. Our REST API enables flexible,
automated data access and contribution without a fixed data
model. While technical knowledge is often needed, we're working
to make the platform more user-friendly—especially for tasks
like comparing scenario input/output datasets. Learn more about
using the database in our
Academy.
How to Navigate:
Browse Topics: Click on any topic card below to explore available datasets
Use Filters: Utilize the search and tag filters above to find specific data
Draft Data: The draft section contains user-contributed data awaiting review
Publish Data: Once the license of a dataset qualifies as open data you can publish your data into any topic suitable for the data
Scenario Data: The scenario section contains reviewed input or output data stemming from modelling work. These datasets can be linked in the scenario bundles section and they are used to enable quantitative comparisons across bundles.
Quality Indicators: Tags enhance data findability, source type, and review status
Metadata Standard: We use the comprehensive OEMetadata specification to describe datasets. You can build your own JSON metadata using the standalone OEMetaBuilder tool below.