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

Future Internet

Michael Kaschesky¹ 

[1] Swissdat, Landoltstrasse 62, 3007 Bern, Switzerland

关键词: data integration;    big data;    open data;    linked data;    analytics;    fusepool;   

DOI  :  10.3390/fi6030556

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.