Open AccessImpact Assesment of Open Government Data
Author(s) -
Aljaž Ferenček
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18690/978-961-286-485-9.56
Subject(s) - openness to experience , open government , open data , government (linguistics) , context (archaeology) , process (computing) , computer science , value (mathematics) , politics , data science , public sector , business , political science , economics , economy , world wide web , geography , operating system , law , psychology , social psychology , linguistics , philosophy , archaeology , machine learning
Public sector organizations produce and process increasing amounts of data and the number of research and initiatives on open data is also increasing. Defining the true value of OGD is challenging without knowing how it impacts society and its economy. While the analysis of the economic benefits of open data is one way to describe the effect of government openness, the impact of open data is measured also in social and political context. Feedback mechanisms that are currently used are mostly surveys, while the number of OGD use cases is increasing. This paper proposes a preliminary model for research on assessing impact areas of OGD in an automated manner by using text mining techniques on existing use cases.