以用户为中心的开放数据价值测量方法

Mark Frank, J. Walker
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引用次数: 14

摘要

基于英国和印度小型志愿部门组织的需求,确定评估开放数据质量的指标的项目。为了这个项目的目的,我们假设开放数据度量的目的是确定一组开放数据集对一个定义好的用户社区的价值。与大多数开放数据研究相比,我们采用了一种更加以用户为中心的方法,使用小型结构化研讨会来确定用户的关键问题,然后从这些问题中了解开放数据如何帮助解决这些问题,以及如果要成功,数据的关键属性。然后,我们尝试了可能用于度量这些属性存在的不同度量标准。结果是六个指标,我们评估有效性,可靠性,歧视,可转移性和可比性。这种以用户为中心的开放数据研究方法强调了从其爱好者基础扩展开放数据使用的一些基本问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
User Centred Methods for Measuring the Value of Open Data
A project to identify metrics for assessing the quality of open data based on the needs of small voluntary sector organisations in the UK and India. For the purposes of the project we assumed the purpose of open data metrics is to determine the value of a group of open datasets to a defined community of users. We adopted a much more user-centred approach than most open data research using small structured workshops to identify users’ key problems and then working from those problems to understand how open data can help address them and the key attributes of the data if it is to be successful. We then piloted different metrics that might be used to measure the presence of those attributes. The result was six metrics that we assessed for validity, reliability, discrimination, transferability and comparability. This user-centred approach to open data research highlighted some fundamental issues with expanding the use of open data from its enthusiast base.
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