This page provides an assessment on the impact of the data that is available on The assessment follows the structure of the EU maturity report 2021 for measuring the impact of data. 

The EU maturity reports, dimension 2 on Open Data Impact, has the following structure:

  1. Strategic awareness
  2. Political Impact
  3. Social Impact
  4. Environmental impact
  5. Economic impact

Assessing the impact of open data is still generally considered a new field, with no consensus, for example, on the definition, or methodologies to measure impact. Nonetheless there are several elements that are considered essential to demonstrating impact, first and foremost monitoring mechanisms, but also proxies of impact – such as the degree of re-use of published open data.

This impact assessment captures these elements. The re-use examples of each dimension (political, social, environmental, economic) help infer a degree of open data impact in the respective field. provides examples of re-use for each section. The examples give an indication of an increase in reuse of data from certain domains.


Strategic awareness

In the Netherlands there is a strong focus on the interest in understanding the level of re-use of open data. The following document gives an overview of the activities / efforts within public bodies:

In 2020 we launched the data communities and impact stories on the National dataportal. Since 2019 we have an application catalogue for re-use and extensive statistics on user visits and clicks. This gives data owner great insights in the re-use of their data. We started work on developing an impact measuring framework. We invest in making explicit relations between datasets, data request, applications, organizations and services so we can visualize the use of data and also the other way around: which application use which data, or which organisations are most involved in answering data request.  

what are the incentives or obligations for public bodies or civil servants at all levels of government to estimate the level of re-use of their own open data? The data portal gives more attention to data that has explicit impact. Datasets that have related impact stories and applications, are ranked more "relevant" in the search results and are more visible. The data communities empower public bodies to be in contact with the re-users of their data. The incentive is here that datasets are more visible, get more attention and at the end provide value.

For 2022 we plan to develop a monitor based on the explicit relations, impact stories and available high value datasets for each organization.   

How do we define impact? See this overview "how to measure impact" (Dutch). We estimate the impact of open data in our country by the following ways:

  • Monitor statistics re-use open data,
  • Working with data communities,
  • Impact stories,
  • High Value datasets

Civil society initiatives that give insight in the impact of data: Recent examples are a journalist network that provides dashboards and access to combined data sources from government and other organizations for journalists:

The Dutch government works with NGO's like Open State Foundation, Waag Society, University of Amsterdam, Universitiy of Delft on various projects to get more insight in impact. Most initiatives are focused on creating datasets that have a national coverage (instead of fragmented sets) or introducing impact frameworks for assessment or value frameworks (like the TaDa principles setup in Amsterdam in cooperation with the Waag, see 

Research on impact of data:

Political impact

We systematically monitor impact in our data application registry: Political impact was a central focus for the event:


Social impact



Environmental impact



Economic impact



Boer and Bunder is an example of the application of Open Data that has high economical impact on a macro level scale. Dataset like the open heights is being used: Dataset Actueel Hoogtebestand

Buienradar (Weather radar) is an example of an application with Open Data that has high economical impact on a micro level scale: Datasets from the Royal Weather institute is the main ingredient: KNMI data