Increasing Open Government Data Transparency with Spatial Dimension
Nicoletta Dessì, Gianfranco Garau, Diego Reforgiato Recupero, Barbara Pes
Abstract
Nicoletta Dessì, Gianfranco Garau, Diego Reforgiato Recupero, Barbara Pes
Abstract
Going toward a more democratic society involves the release of the so-called "Open Government Data" (OGDs) i.e. Any data and information produced by public administrations (PAs) and made available to citizens in order to increase government transparency. Although a large amount of OGD repositories exist, accessing and analyzing OGDs is far from being user-friendly. Trying to push in this direction, this paper presents a framework to extract open government data from government portals, collect them in a repository and increase data transparency with the introduction of spatial features. A case study is presented that sets out the application of the framework on SIOPE, an Italian administrative portal that provides the receipts and payments made by Italian institutions.
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Going toward a more democratic society involves the release of the so-called "Open Government Data" (OGDs) i.e. Any data and information produced by public administrations (PAs) and made available to citizens in order to increase government transparency. Although a large amount of OGD repositories exist, accessing and analyzing OGDs is far from being user-friendly. Trying to push in this direction, this paper presents a framework to extract open government data from government portals, collect them in a repository and increase data transparency with the introduction of spatial features. A case study is presented that sets out the application of the framework on SIOPE, an Italian administrative portal that provides the receipts and payments made by Italian institutions.
Key concepts: Transparency (behavior), Open data, Open government, Dimension (graph theory), Government (linguistics), Computer science, E-Government, Order (exchange)