Dissemination of Official Statistics as Open Government Data Strategy
Peter Lohauss
State Statistical Institute Berlin-Brandenburg, Berlin, Germany

The ESS-quality criteria accessibility and clarity have to be fulfilled in the design of the process of dissemination of official statistics. The Open Government Data initiatives set the frame regarding the range and type of data to be disseminated. The main principles for Open Government Data are examined in their relevance to official statistics. The communication with the users is a new element in the dissemination process and has to be implemented in the process chain. Amount, type and form of presentation of data change fundamentally. As a result of user surveys three types of users (public, experts, scientists) are discerned and their different needs are specified. A new design of dissemination processes is conceived, which deals with the specified needs of the three types of users: online tables, online-databases and research centers with online access. The Generic Statistical Business Process Model 4.0 is used to clarify the process re-design. An example is demonstrated using of the State Statistical Institute of Berlin-Brandenburg.


The Generic Statistical Business Process Model. Latest Version. Version 4.0, approved by the METIS Steering Group in April 2009. http://www1.unece.org/stat/platform/display/metis/The+Generic+Statistical+Business+Process+Model

European Statistics Code of Practice: http://epp.eurostat.ec.europa.eu/portal/page/portal/quality/code_of_practice

8 Principles of Open Government Data: http://www.opengovdata.org/.

Keywords: Dissemination; Online-database; Statistical process chain; Open Government Data

Biography: Dr. Peter Lohauss is Head of the Department of Regional Statistics and Analysis at the State Statistical Institute of Berlin-Brandenburg, Germany. He works in Official Statistics since 1981 on state, federal and european level mainly in the field of quality management, regional statistics and statistics on living conditions, poverty and education.