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.
Highlights
Open data has reached an inflection point where stakeholders are looking for measurable impacts and are asking the right question: how to move open data forward to create a positive impact
Barometer Global Report 2013 demonstrates that exactly the data that is most valuable in terms of political efficiency, socio-economic innovation or administrative efficiency is rarely available [11]:
We conclude that making data access more efficient and data usefulness more effective for solving real problems is critical for open data to yield measurable impact
Summary
Open data has reached an inflection point where stakeholders are looking for measurable impacts and are asking the right question: how to move open data forward to create a positive impact. Evidence-based decision-making, according to the Australian Bureau of Statistics, “requires a Future Internet 2014, 6 systematic and rational approach to researching and analyzing available evidence to inform the policy making process” [1]. This article first makes a case for open (government) data as supporting political efficiency, socio-economic innovation and administrative efficiency. It describes the current shortcomings for open data to yield measurable impacts: data access (must be efficient) and data usefulness (must be effective). It identifies technical problems with existing approaches to make data open and connected seamlessly across applications, enterprises and community boundaries. The final chapter shows first how Fusepool components support data processing and publishing at public agencies and finishes with a conclusion and outline future work
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