awesome-ogd-switzerland

Agricultural data provided by the Federal Office for Agriculture.

Comprehensive data portal provided by the Federal Office for Agriculture. The portal provides ongoing information and data on current market events in various agricultural and food markets. It includes price and quantity information along the value chain, from production to consumption.

Statistical data from Schweizer Bauernverband (not an official government entity).

Official Gazettes Portal. A publishing center for entities that publish official and commercially relevant publications in the Swiss Official Gazette of Commerce (SOGC) and in official cantonal gazettes. Data can also be imported and exported using a

Data portal of the State Secretariat for Economic Affairs (SECO).

More information for APIs provided by opendata.swiss, Geo Admin, and Shared mobility.

API for Geo Admin's Spatial-Temporal Asset Catalog.

OpenERZ is an open API for waste collection data from many different municipalities in Switzerland (e.g., Zurich, Basel, St. Gallen, Uster, Thalwil, Adliswil, and Horgen). API and Python client provided by OGD wizard

Curated list of R packages and R code created and used by Swiss public institutions.

The Research Center for Digital Sustainability focuses on key topics such as Digital Sustainability, Open Data, Linked Data, and Open Government. The center offers studies, research, services, support, and lectures (see below) in these areas.

This unit coordinates measures to implement the OGD strategy of the Swiss government and provides support to both data publishers and users.

The I14Y interoperability platform is available since June 2021 to promote the multiple use of data. All of the Federal Administration’s data collections are described here. In addition, a directory of electronic interfaces (APIs) will facilitate access to the actual data.

Comprehensive lectures about Open Data in Switzerland provided by the Forschungsstelle Digitale Nachhaltigkeit at the University of Bern.

Statistical Office.

Statistical Office.

Statistical Office.

Recommendations for crowdsourcing tools, primarily from the open data community.

Operational lake models and remote sensing products.

Data extracts from the OpenStreetMap project for more than 200 areas worldwide in various formats. E.g., extracts for

The Federal Statistical Office (BFS) offers several specialist atlases in addition to the central statistical atlas of Switzerland, providing more detailed information on specific areas of life from a statistical perspective. With numerous interactive maps, graphics, and underlying data, a wide variety of geographical processes and relationships can be easily analyzed and evaluated.

OSM-derived GeoParquet layers based on Geofabrik's GIS format, including POIs for Germany, Austria, and Switzerland.

National geodata portal for in-situ lake measurements.

Environmental research data from Switzerland, provided by research units of the Swiss Federal Institute for Forest, Snow and Landscape WSL.

Conference for digital sustainability.

Conference of the regional statistical offices in Switzerland.

Lobbywatch enables citizens and media professionals to find out what interests politicians in Bern represent. They offer their data as an open database for independent evaluations.

Forum for transparency in administration.

Linked Data Service of the Federal Geoportal.

Fedlex is the Federal Chancellery platform on which federal legislation is published. It is primarily used to publish the Official Federal Gazette, the Official Compilation of Federal Legislation, and the Classified Compilation of Federal Legislation, i.e., the consolidated version of federal legislation and international law texts.

LINDAS (Linked Data Service) allows public administrations to publish their data in the form of Knowledge Graphs and make them accessible via

The Linked Data Meetup is a collaboration between the Swiss Federal Archives (BAR) and the BFH's Public Sector Transformation Institute. The meetup is aimed at users of linked data, especially in the LINDAS environment.