Directions of Shaping the Open Data Performance Expectancy in Europe in the light of Text Mining Analysis

Abstract:

The purpose of this article is threefold: (1) finding the currently dominant terms in open data performance expectancy creation; (2) finding the geographical areas of Europe that have a dominant contribution in creating open data performance expectancy; (3) exploring the links between the geographical areas of Europe in open data performance expectancy creation; The main research method is an analysis based on text mining, visualization techniques and statistical methods for texts promoting digital products and services that use open data. The research covered 287 digital products and services based on open data. The time frame covers the period 2018-2019 and the research focuses mainly on European issues. The research results show that the most popular digital products and services based on open data are applications, websites and platforms. The main direction in presenting the benefits of their use is related to promoting them as tools to provide real time information on public issues, primarily in areas such as transport, education, culture and sport, economics and finance and health. The most uniform geographical area in terms of creation of open data performance expectancy is Western Europe; in Northern and Southern Europe dominating countries can be found, while Eastern Europe shows the smallest activity.