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Ivan Bedini, Feroz Farazi, David Leoni, Juan Pane, Ivan Tankoyeu, Stefano Leucci
7. Conclusion
In this paper we depicted the approach we implemented in the publication of Open Data in the
Province of Trento. The result that we have already obtained is promising and we show that the
complement of the data culture along with a direct technical and legal support to PA employees
allow a faster diffusion and sustainability in the process of opening data within the public
administration. Furthermore, we proposed an approach for generating entity leveraging open
government data grounded on entity based infrastructure that by design facilitates consistency in
data representation and management. As such enabling the re-use of public sector information.
We also address the forthcoming data explosion issue by investigating and integrating since the
beginning BigData Technologies. The entity centric data representation and the infrastructure as a
whole can be considered as an input to the W3C Data on the Web Best Practices Working Group
to provide guidance to data publishers. Our future work involves the creation of a broader data
ecosystem. Communities, universities and other actors will be able to link their data using Open
Data Rise. Moreover, we will implement crowdsourcing techniques for improving the quality of the
existing data.
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Final Version.
CC: Creative Commons License, 2014.
