BRAINFOOD

brAInfood: What obstacles hinder the sharing of ANPR data in Belgium?

WHAT IS THIS BRAINFOOD ABOUT?

Recently, the Knowledge Centre Data & Society published the ‘Rapport over Bevoegdheden in het delen van Gegevens. Automatische kentekenplaatherkenning (ANPR) als toepassingsgeval’. [Dutch only]. The report focuses on the distribution of competences in Belgium and exposes potential issues of data sharing using a sample case on ANPR (Automatic Number Plate Recognition). ANPR cameras are intelligent cameras who recognise number plates automaticaly.

In this brAInfood, we take a closer look at the five main obstacles that hinder data sharing in Belgium. We also provide a number of recommendations to overcome these obstacles.

WHY SHOULD I READ THIS?

ANPR data are personal data since the data can be used to identify a driver. This makes the sharing of these data a difficult task as many elements need to be taken into account (such as security and privacy). Would you like more information on the obstacles of data sharing in Belgium? Continue reading this brAInfood.

WHAT CAN I FIND OUT WHEN READING THIS?

This brAInfood of the Knowledge Centre Data & Society includes:

  • 5 main obstacles that hinder data sharing in Belgium;
  • A number of recommendations to overcome these obstacles.

This brAInfood presents a sneak peek of the recently published report. Do you want to know more about the competences in data sharing after reading this brAInfood? Then we advise you to read the full report.

With brAInfood, the Knowledge Centre Data & Society wants to provide easily accessible information about artificial intelligence. brAInfood is available under a CC BY 4.0 license, which means that you can reuse and remix this material, provided that you credit us as the source.

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