Open Data & Re-use Of Public Sector Information
The European governments, and the EU itself, collects information that is worth billions of euros for the commercial and non-governmental sector. While PSI is generally free, or very cheap in the EU, the re-use of these information sources usually requires deep knowledge and further investment, given that these public information sources were never designed for the secondary public or commercial need.
Reprex co-founder Daniel Antal has been involved in the re-use of public sector information since 2003, when the EU first opened government sources to the business sector on a European level. Reprex builds on 17 years of experience with accessing various information sources originally collected by the public sector.
The re-use of public sector information directive which had been replaced in 2019 with the EU Open Data Directive, and it allows a very wide access to data with a market value of tens of billions of euros.
There is no free lunch. Using these data sources makes avoids the data collection cost, but processing datasets originally created for governmental or scientific use requires a very significant investment. Our statistical software that helps in this process has been developed over years.
We are creating thousands of music and audiovisual industry related indicators from raw data collected for other purposes, such as inflation measurement or public policy assessment in the EU using our proprietary software and some open source software.
Our more general retorharmonize and more specific eurobarometer software package allows us to create statistical indicators from the usually unpublished, unused questionnaire data of Eurobarometer – and even create comparative indicators with with Latin-America, Africa and the Arab world.
Our regions software makes regional and metropolitan area level data comparable in Europe and other countries. The boundaries of regions, provinces, metropolitan areas are changing on several thousand places on the world each year. Our software makes otherwise not comparable data available for granular research.