What is Open Data?
Although the term "Open Data" seems intuitive and self-explanatory, there is no single universally agreed-upon definition. In most cases the domain and field of application guides the definition. One can get a feeling for this when looking at the various definitions for Open Data that we compiled here.
Though, in our daily work with data, we see two aspects regularly emerging:
-
Legal Openness
Can I legally use and reuse this data? -
Technical Openness
Can I actually access and use the data easily?
Since our work spans many fields, we needed a consistent approach that works independent of any domain-based definition. This led us to develop ODON's Data Maturity Model (ODMM).
The ODMM assesses datasets along two dimensions — Legal Openness and Technical Openness — each with four levels, providing a clear, domain-independent classification.
ODON's Data Maturity Model (ODMM)
The framework assesses data along two independent dimensions: Legal Openness and Technical Openness. Each dimension has four levels. A dataset is assigned the level whose indicators all apply — or, for the first level of each dimension, the level that applies when any restriction is present.
Legal Openness
| Level | Definition | Indicators | Classification rule |
|---|---|---|---|
| L1 Closed / Undefined |
No clear legal permission for reuse |
|
If any restriction is present → L1 |
| L2 Restricted |
License exists but limits reuse significantly |
|
All indicators must apply |
| L3 Open with Conditions |
Reusable with minimal obligations |
|
All indicators must apply Typical licenses: attribution-style licenses |
| L4 Fully Open |
No legal barriers |
|
All indicators must apply Typical licenses: public domain / CC0-like |
Technical Openness
| Level | Definition | Indicators | Classification rule |
|---|---|---|---|
| T1 Not Usable |
Data cannot be effectively reused |
|
If any restriction is present → T1 |
| T2 Accessible but Limited |
Technically accessible, but with barriers |
|
All indicators must apply |
| T3 Structured & Standardized |
Data is well-structured and usable |
|
All indicators must apply |
| T4 Fully Open & Interoperable |
Data is optimized for reuse and integration |
|
All indicators must apply |
List of Definitions and Sources
Here you can find some of the definitions that exist on Open Data. For your convenience, we added also the source.
| Source | Definition |
|---|---|
| Open Knowledge Foundation Open Definition |
"Open data and open content can be freely used, modified, and shared by anyone for any purpose." |
| European Commission data.europa.eu |
"Open data is data that anyone can access, use or share. Open data must be available online in an open format, accompanied by an open licence that allows the data to be re-used freely by anyone for any purpose." |
| World Bank | "Open data refers to data that can be freely used, re-used and redistributed by anyone – subject only, at most, to the requirement to attribute and share alike." |
| OECD | "Open government data refers to data produced or commissioned by government or government-controlled entities which can be freely used, reused and redistributed by anyone." |
| Open Data Handbook (OKF) |
"Open data is data that can be freely used, re-used and redistributed by anyone – subject only, at most, to the requirement to attribute and share alike." |
| International Open Data Charter | "Digital data that is made available with the technical and legal characteristics necessary for it to be freely used, reused, and redistributed by anyone, anytime, anywhere." |
| Wikipedia | "Open data is data that is openly accessible, exploitable, editable and shared by anyone for any purpose, even commercially." |
♥ Want to work with Open Data yourself? Browse our APIs or explore our services.