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Assessing Social Value in Open Data Initiatives: A Framework
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Future Internet 2014, 6(3), 556-583;

7R Data Value Framework for Open Data in Practice: Fusepool

Swissdat, Landoltstrasse 62, 3007 Bern, Switzerland
Bern University of Applied Sciences, E-Government Unit, Postfach 305, 3014 Bern, Switzerland
Author to whom correspondence should be addressed.
Received: 18 March 2014 / Revised: 7 August 2014 / Accepted: 14 August 2014 / Published: 8 September 2014
(This article belongs to the Special Issue Open Government Meets Social Data)
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Based on existing literature, this article makes a case for open (government) data as supporting political efficiency, socio-economic innovation and administrative efficiency, but also finds a lack of measurable impact. It attributes the lack of impact to shortcomings regarding data access (must be efficient) and data usefulness (must be effective). To address these shortcomings, seven key activities that add value to data are identified and are combined into the 7R Data Value Framework, which is an applied methodology for linked data to systematically address both technical and social shortcomings. The 7R Data Value Framework is then applied to the international Fusepool project that develops a set of integrated software components to ease the publishing of open data based on linked data and associated best practices. Real-life applications for the Dutch Parliament and the Libraries of Free University of Berlin are presented, followed by a concluding discussion. View Full-Text
Keywords: data integration; big data; open data; linked data; analytics; fusepool data integration; big data; open data; linked data; analytics; fusepool

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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Kaschesky, M.; Selmi, L. 7R Data Value Framework for Open Data in Practice: Fusepool. Future Internet 2014, 6, 556-583.

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