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Building a government data strategy: aligning open data and advanced research with the public and open science principles

机译:制定政府数据策略:使开放数据和高级研究与公共和开放科学原则保持一致

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Summary form only given. Governments have initiated and expanded open data policies at the municipal, state, and national levels. While these policies spark the promise of transparency, an open data program is an effective gateway to a larger data and technology strategy. Governments can use portals to convene a tech community consisting of entrepreneurs, professionals in information technology from large enterprises, and civic activists. The blend of the technology components and grassroots culture is necessary for governments to function as a platform. Yet, open data can achieve more than transparency and GaaP services. By leveraging open data and applying the principles of open access and open science, governments can collaborate with external researchers to implement analytic, stochastic research models that improve the efficiency of city operations and help advise on data-driven policy. Governments can leverage technologies such as open source software and distributed version control to share research with others, inviting review through reproducible research and also inviting improvements. In order to be successful, there must be a alignment between the governments internal technology stack and it's edifice to the public. We will discuss lessons from building a broad data strategy inclusive of open data, advanced analytics a la open science, internal technology systems, and necessary culture to iterate toward an collaboration between governments, the public, researchers, and private enterprise.?
机译:仅提供摘要表格。各国政府已在市,州和国家级别启动并扩展了开放数据政策。尽管这些政策激发了透明度的希望,但开放数据计划是通向更大数据和技术战略的有效途径。政府可以使用门户来召集由企业家,大型企业的信息技术专业人员和公民活动家组成的技术社区。技术成分与基层文化的融合对于政府发挥平台作用是必要的。但是,开放数据不仅可以实现透明度和GaaP服务。通过利用开放数据并应用开放获取和开放科学的原则,政府可以与外部研究人员合作实施分析性随机研究模型,从而提高城市运营效率并就数据驱动型政策提供建议。政府可以利用诸如开源软件和分布式版本控制之类的技术与他人共享研究成果,通过可重复的研究邀请进行审查,还可以进行改进。为了获得成功,政府内部技术体系与对公众的大厦之间必须保持一致。我们将讨论从构建包括开放数据,高级分析,开放式科学,内部技术系统以及必要的文化以迭代实现政府,公众,研究人员和私营企业之间的协作的广泛数据策略的课程。

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