As part of their activities, the municipalities record changes to the address and building stock as well as construction measures via Address-BDR-Online. Thereby they make an important contribution for the actuality but also the quality of the data. The aim of the training measures is to train the users in the municipalities to facilitate the execution of the above-mentioned tasks.
Information events on ABDR are held as part of the seminar program of administrative or municipal academies of the federal states. Participants receive background information on the various uses of the data and the importance of correct and complete data collection. At the same time, complex data collection and data cleaning issues are addressed.
Training courses on the use of the application are offered to the administrative staff of municipalities and district authorities that record construction projects, buildings and dwellings in ABDR.
The training offered includes various types of training, such as basic training for new users on how to use the Address-BDR-Online application, as well as workshops on current topics, e.g., in the context of data cleansing at the request of the provinces.
If you are interested in application training, please contact the ABDR Service-desk at firstname.lastname@example.org. Training sessions actually are held exclusively online via Webex.
Dates for online workshops take place as the occasion arises and are announced in a timely manner under Information.
The test application (Address BDR Online Test) provides the possibility to become familiarize with the application or try out application areas that are not frequently used. The test application can be accessed via the portal network.
The test application is a copy of the real application (Address-BDR-Online Production) and contains all functions as well as the complete data stock of the productive system. The only difference is that the changes made by the user does not have an effect on the real database and are not saved permanently. In the test application changes can be made but the dataset of this system is overwritten with the live dataset at regular intervals.