The phenomenon of Business-to-Government (B2G) data sharing represents a growing trend, especially in latest years. In fact, research has shown how privately held data could have a huge potential when used to tackle societal policy issues. B2G data sharing initiatives can be employed in different situations: from emergencies to the construction of official statistics and the use in research, just to name a few. In all these circumstances, the quality level required for the data may be different, as different principles could prevail upon others (e.g., timeliness in the case of emergencies is a key parameter). This heterogeneity in possible use-cases motivates the present work. In fact, our objective is to understand and classify the different contexts in which B2G data sharing may happen. The idea is to create a taxonomy of B2G data sharing initiatives, in which we identify all the different instances where B2G data sharing may occur. Afterwards we add as attributes some identified quality principles that characterise the different B2G data sharing situations. The work aims at providing further information that can help clarify specificities and requirements of B2G data sharing in order to enable relevant data flows and make them more dynamic.
Towards a taxonomy for Business-to-Government data sharing
Bertoni E.
2024-01-01
Abstract
The phenomenon of Business-to-Government (B2G) data sharing represents a growing trend, especially in latest years. In fact, research has shown how privately held data could have a huge potential when used to tackle societal policy issues. B2G data sharing initiatives can be employed in different situations: from emergencies to the construction of official statistics and the use in research, just to name a few. In all these circumstances, the quality level required for the data may be different, as different principles could prevail upon others (e.g., timeliness in the case of emergencies is a key parameter). This heterogeneity in possible use-cases motivates the present work. In fact, our objective is to understand and classify the different contexts in which B2G data sharing may happen. The idea is to create a taxonomy of B2G data sharing initiatives, in which we identify all the different instances where B2G data sharing may occur. Afterwards we add as attributes some identified quality principles that characterise the different B2G data sharing situations. The work aims at providing further information that can help clarify specificities and requirements of B2G data sharing in order to enable relevant data flows and make them more dynamic.
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