In February 2023, an overhaul of the themes assigned to the datasets in the PRIM platform's data catalog was carried out.

The before/after of the theme redesign on PRIM.

Thus, the66 datasets currently available on the PRIM platform and formerly associated with 7 themes have been grouped into 9 themes:

  • Stops (20 datasets) ;
  • Lines (17 datasets) ;
  • Data outside the LOM law (9 datasets) ;
  • Bikes and New Mobilities (9 datasets) ;
  • Measured frequentation (8 datasets) ;
  • Circulation and Schedules(5 datasets) ;
  • Fares and Sales (4 datasets) ;
  • Accessibility (3 datasets) ;
  • Infrastructures (3 datasets).

As can be seen from the figures listed above, one and the same dataset can be affiliated with several themes.

The "Associated stops and lines" is affiliated with two themes (stops and lines).

Each theme has its own pictogram

Each of the 9 themes mentioned above is represented by a pictogram. This pictogram is displayed to the left of the title of each dataset affiliated with that theme.

Each dataset sports a pictogram representing the theme to which it is affiliated.

Themes that allow you to filter datasets

The primary purpose of these themes is to filter datasets from the data catalog. In this way, you can find more easily within the data catalog the data you're looking for.

It is of course possible toselect several themesduring the same search. For example, I can select for the same search, the theme "stops" and the theme "line".

After selecting your search themes and clicking on "apply filters", the data catalog displays all the data matching your criteria and indicates the number of corresponding datasets.

Search PRIM's data catalog by theme.

Thank you for reading this entire article! We now invite you toexperience for yourself the search by filters within the PRIM platform data catalog and to discover the new themes. We remain of course available to welcome your comments and answer your questions at [email protected] but also on the"Slack" of the "PRIM community", which you can join by following this link.

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