Research challenges for the use of big data in policy-making

被引:7
作者
Mureddu, Francesco [1 ]
Schmeling, Juliane [2 ]
Kanellou, Eleni [3 ]
机构
[1] Lisbon Council Econ Competitiveness & Social Rene, Brussels, Belgium
[2] Fraunhofer Inst Open Commun Syst, Digital Publ Serv, Berlin, Germany
[3] Natl Tech Univ Athens, Decis Support Syst Lab, Zografos, Greece
基金
欧盟地平线“2020”;
关键词
Big data; Evidence-based practice; Governance; Public sector; Roadmap; Data-informed policy-making; MODELS;
D O I
10.1108/TG-08-2019-0082
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
Purpose This paper aims to present pertinent research challenges in the field of (big) data-informed policy-making based on the research, undertaken within the course of the European Union-funded project Big Policy Canvas. Technological advancements, especially in the past decade, have revolutionised the way that both every day and complex activities are conducted. It is, thus, expected that a particularly important actor such as the public sector, should constitute a successful disruption paradigm through the adoption of novel approaches and state-of-the-art information and communication technologies. Design The research challenges stem from a need, trend and asset assessment based on qualitative and quantitative research, as well as from the identification of gaps and external framework factors that hinder the rapid and effective uptake of data-driven policy-making approaches. Findings The current paper presents a set of research challenges categorised in six main clusters, namely, public governance framework, privacy, transparency, trust, data acquisition, cleaning and representativeness, data clustering, integration and fusion, modelling and analysis with big data and data visualisation. Originality/value The paper provides a holistic overview of the interdisciplinary research challenges in the field of data-informed policy-making at a glance and shall serve as a foundation for the discussion of future research directions in a broader scientific community. It, furthermore, underlines the necessity to overcome isolated scientific views and treatments because of a high complex multi-layered environment.
引用
收藏
页码:593 / 604
页数:12
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