Sep 9, 2022

Measure Together (Samen Meten)

First Name
Last Name
What is the name of your organization?
What best describes the type of organisation that you are representing?
Other Government Administration
Where are you based?
Antonie van Leeuwenhoeklaan 9
Bilthoven 3721 MA
Map It
What is the name of your initiative?
Measure Together (Samen Meten)
How would you describe the main mission of your initiative?
  • Measure/monitor air quality
  • Raise awareness/education


Please provide a short description of your initiative* (What is being done? Who is participating? What are your main goals?) This text will appear on the main page.
Samen Meten is an infrastructure for data and knowledge sharing for citizen scientists interested in air quality. We provide a platform where citizens can find their own data and the data of others. In addition, the data can be analysed via the ‘Analyse together tool’. New citizen scientists can also find information on how and where to start measuring air quality. Currently also data on noise and water quality is added.
Who is your main audience?
  • Citizens


If possible, provide the list of partners involved in the initiative.
Ministry of Water and Infrastructure
+ many others
How is this initiative funded?
  • Other


Context – Other
National government program
Please provide an estimation of the total budget of the initiative:
I don’t know
What is the status of the initiative?
What is the duration of the initiative?
More than 5 years
How many participants (citizen scientists, volunteers, etc.) have been involved (approximately)?
1000 – 5000
Website that presents your initiative
Please upload a picture to illustrate your initiative


Technical Details
Name of the equipment
The number of these devices used in your initiative (estimation):
  • DIY – from a dedicated provider


Measured parameter (you can select several)
  • PM2.5
  • PM10
  • Temperature
  • Humidity


Are there any other technical details you would like to share?
Energy type
  • Regular power plug


Does your device allow SD cards?
  • No


Temporal resolution
5 minutes
Where are you measuring air quality?
Device’s location
  • Other


Devices location – Other
Level of expertise required to operate
Simple if you take the time to read the documentation
What is the approximate market price per unit?
50 euros
Are there any other costs related to this equipment?
Are there any setup/installation costs? If possible, provide a figure
Are there any maintenance costs? If possible, provide a figure


Are you using a platform for data visualisation?
Yes, we have created our own data platform
Add the public URL (if any)
Is your platform open source?
Are there any other interesting links related to the data platform?
From 0 (the lowest) to 5 (the highest), how easily accessible and user-friendly is your platform?
What are the estimated costs related to the data platform (subscription if any, development costs…)
Are you providing open data?
How is the data made accessible?
  • Export (csv, geojson..)
  • API


If any, what qualitative or quantitative indicators (e.g., AQI, alerts…) are you calculating?
How frequently is the data refreshed in the data platform?
every hour
How long does it take before the newest data is available on your platform?
1 hour
Do you give access to historical data?
If possible, please share a link to your data privacy policy:
What type of data visualisation do you provide?
  • Statistics / Indicators / Charts
  • Maps
  • Other


Data visualization – Other
Would you like to share with us any additional information? (Max 300 words)
There is high demand for measuring air quality among citizens, in the Netherlands in both urban AND rural areas.
With low-cost sensors, quality is not very high, however the strength is the quantity, to have a network of many sensors that together provide an interesting view on the air quality in one place.
As RIVM we also provide calibration of the low-cost sensors with the official measuring stations. We are also working on integrating the citizen science sensors in the official national maps, still this remains a challenge due to the heterogeneity of the used sensors.

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