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

Michael Kaschesky and Luigi Selmi
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Michael Kaschesky: Swissdat, Landoltstrasse 62, 3007 Bern, Switzerland
Luigi Selmi: Bern University of Applied Sciences, E-Government Unit, Postfach 305, 3014 Bern, Switzerland

Future Internet, 2014, vol. 6, issue 3, 1-28

Abstract: 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.

Keywords: data integration; big data; open data; linked data; analytics; fusepool (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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