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Report . 2021
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Report . 2021
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Report . 2021
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Data-Driven Policymaking Week

descriptionPublicationkeyboard_double_arrow_right Report 14 May 2021 English Publisher:ZenodoFunded by:EC | PolicyCLOUD
Authors: Willems, Marieke; Duzha, Armend; Crespi, Daniele; Timan, Tjerk; Georgieva, Ana D.; Bozhkova, Petya; Carrillo, Liliana; +5 Authors

doi: 10.5281/zenodo.4762131 , 10.5281/zenodo.4762132 , 10.5281/zenodo.4762406

Data-Driven Policymaking Week

Abstract

This report explains the added value of Policy Cloud for data-driven policymaking by focusing on the four highly distinct Policy Cloud pilot cases, each dealing with different challenges, all addressed by the project’s innovative cloud solution tailored to each pilot’s requirements. The report provides policymakers with examples and recommendations to address policymaking challenges in their own organisations through The European Cloud for data-driven policy management will provide integrated reusable models and analytical tools, turning raw data into valuable and actionable knowledge towards efficient policymaking.

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Keywords

data, policymaking, data-driven, policy

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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