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

Matthias Stuermer, Marcus M. Dapp
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引用次数: 7

Abstract

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.
衡量开放数据的承诺:影响监测框架的发展
衡量向公众发布数据的影响可能具有挑战性,因为这些影响可能与特定的开放数据活动没有直接联系,或者可能在数据发布几年后才产生重大影响。本文提出了一个框架,通过应用社会投资回报率(SROI)方法来评估发布开放数据的影响。SROI是为旨在产生社会和环境效益的组织开发的,因此符合大多数开放数据计划的目的。我们将SROI的四个步骤(投入、产出、结果、影响)与八国集团开放数据宪章的14个高价值数据类别联系起来,以创建每个数据类别中的开放数据示例、活动和影响矩阵。该影响监测框架帮助数据提供者导航开放数据的影响空间,为进一步研究奠定概念基础。
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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