Special issue on evidence-based government: secure, transparent and responsible digital governance

IF 1.3 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
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Abstract

This special issue is a collection of papers from the 18th International Conference on Digital Government Research (dg.o 2017) that address security, privacy, transparency as well as responsible governance and policy making in open government and open society. The abundance of available data, including open government data, social data, and sensor data, facilitates evidence-based government. This offers the possibility of making information dissemination and government services more accountable and also more innovative and transformative to fit to the needs of citizens and cities, and transitions policy making to potentially become more participatory and collaborative. In this open-data-driven society, where the data is disseminated, re-used and re-purposed, as well as connected and fused, researchers need to investigate the impact of open data and the risks of the “open data society.” What are suitable policies to govern the data dissemination, distribution, reuse and repurposing? What are different types of data governance models, and what are their relative advantages and disadvantages? What new risks and opportunities does an open data society face? What are the enabling factors and risks of the data-driven policy making paradigm? Can citizens be made more aware of and accountable for their own privacy by developing technology-driven detection mechanisms of privacy risks? For this special issue, we feature articles that cover theoretical, practical, and technical approaches to solving issues arising when disseminating, reusing, repurposing and hyper-connecting different sources of big data (including open government data, social data, sensor data, and ubiquitous data) for the purposes of innovation and transformation of government and society.
专题:循证政府:安全、透明和负责任的数字治理
本特刊是第18届数字政府研究国际会议(dg.o 2017)的论文集,讨论了开放政府和开放社会中的安全、隐私、透明度以及负责任的治理和政策制定。丰富的可用数据,包括开放的政府数据、社会数据和传感器数据,有助于循证政府。这提供了一种可能性,使信息传播和政府服务更负责任,也更具创新性和变革性,以适应公民和城市的需求,并使政策制定有可能变得更具参与性和协作性。在这个开放数据驱动的社会中,数据被传播、重复使用和再利用,以及被连接和融合,研究人员需要调查开放数据的影响和“开放数据社会”的风险。有什么合适的政策来管理数据的传播、分发、再利用和再利用?不同类型的数据治理模型有哪些,它们的相对优势和劣势是什么?开放的数据社会面临哪些新的风险和机遇?数据驱动的政策制定模式的有利因素和风险是什么?通过开发技术驱动的隐私风险检测机制,能否让公民更加意识到自己的隐私并对其负责?在本期特刊中,我们的文章涵盖了解决在传播、重复使用、重新利用和超连接不同来源的大数据(包括开放的政府数据、社会数据、传感器数据和无处不在的数据)以实现政府和社会的创新和转型时出现的问题的理论、实践和技术方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Information Polity
Information Polity INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
3.30
自引率
10.00%
发文量
42
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