2014
DOI: 10.3390/fi6030556
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7R Data Value Framework for Open Data in Practice: Fusepool

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 me… Show more

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Cited by 3 publications
(3 citation statements)
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“…To address this, strategies such as hackathons and contests have been employed to boost the usage of OGD by civil society [96]. The significance of stakeholder engagement and co-creation in enhancing data usefulness is emphasized, with examples like Fusepool incorporating predictive labeling and user annotations [9]. The identification of data needs is a crucial aspect, and involving target users is essential to enhance the social and commercial value of OGD [97].…”
Section: Social Dimensionmentioning
confidence: 99%
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“…To address this, strategies such as hackathons and contests have been employed to boost the usage of OGD by civil society [96]. The significance of stakeholder engagement and co-creation in enhancing data usefulness is emphasized, with examples like Fusepool incorporating predictive labeling and user annotations [9]. The identification of data needs is a crucial aspect, and involving target users is essential to enhance the social and commercial value of OGD [97].…”
Section: Social Dimensionmentioning
confidence: 99%
“…The critical nature of the maintenance phase is underscored, requiring further development to ensure the validity of produced data in a decentralized context. Kaschesky [9] emphasizes the importance of data stewardship and curation for ensuring the effectiveness of data. Addressing the governance aspect, Deng et al [88] emphasize the challenges of managing large and diverse datasets from government agencies, requiring significant time and effort.…”
Section: Economic/financial Dimensionmentioning
confidence: 99%
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