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Measuring the Promise of Open Data: Development of the Impact Monitoring Framework

机译:测量开放数据的承诺:影响监测框架的发展

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Measuring the impact of releasing data to the public can be challenging since the effects may not be directly linked to particular open data activities or substantial impact may occur only several years after the data is published. This paper proposes a framework to assess the impact of releasing open data by applying the Social Return on Investment (SROI) approach. SROI was developed for organizations intended to generate social and environmental benefits thus fitting the purpose of most open data initiatives. We link the four steps of SROI (input, output, outcome, impact) with the 14 high-value data categories of the G8 Open Data Charter to create a matrix of open data examples, activities, and impacts in each of the data categories. This Impact Monitoring Framework helps data providers to navigate the impact space of open data, laying out the conceptual basis for further research.
机译:测量释放数据对公众的影响可能是具有挑战性的,因为效果可能没有直接与特定的开放数据活动直接相关,或者在数据发布后的几年内可能发生实质性影响。本文提出了一种框架,以评估释放开放数据的影响,应用社会回报投资(SROi)方法。为旨在产生社交和环境效益的组织开发了SROI,从而拟合最开放数据举措的目的。我们将SROI(输入,输出,结果,影响)的四个步骤链接到G8开放数据刻录机的14个高值数据类别,用于在每个数据类别中创建开放数据示例,活动和影响的矩阵。这种影响监控框架有助于数据提供商导航开放数据的影响空间,为进一步研究制定概念依据。

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