Leveraging Big Data to Support Measurement of the Sustainable Development Goals
Leveraging Big Data to Support Measurement of the Sustainable Development Goals
复制标题
利用大数据支持可持续发展目标的衡量
DOI：
10.2139/ssrn.3058530
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Sriganesh Lokanathan
中科院分区：
文献类型：
--
作者：
Thavisha Perera;Sriganesh Lokanathan
可持续发展目标在广度、范围和指标方面有着前所未有的数据需求，同时还呼吁利用现有和新的数据来源开展数据革命，这凸显了大数据来源（包括移动数据、社交媒体和卫星数据）在支持可持续发展目标衡量方面的潜力。大数据的全部潜力在于将其与更传统的统计方法结合使用，更多地从需要衡量什么而不是使用什么数据的角度看待情况——因此，一种利用传统和非传统数据的多源方法可以使大数据的使用更有效。
然而，隐私问题给有关大数据的讨论蒙上了阴影，移动网络大数据等大数据使用缺乏治理结构也是如此。此外，在将大数据用于发展方面还存在其他可能的危害问题。本政策文件旨在更好地告知政策制定者从大数据来源中可以获取的各种见解，以及如何利用这些见解使各国更好地衡量和监测可持续发展目标。它通过回顾当前探索各种大数据来源用于特定发展应用的文献来实现这一目的。该文件还涉及围绕大数据使用的相关讨论，包括治理和隐私问题。
The unprecedented data requirement for the SDGs, in terms of breadth, scope and indicators, coupled with a call to harness a data revolution drawing on existing and new data sources, underscores potential for big data sources (including mobile data, social media and satellites) to support measurement of SDGs. The full potential of big data would lie in its use along with more traditional measures of statistics, looking at situations more from the perspective of what needs to be measured rather than what data is to be used – thus a multisource approach leveraging both traditional and non-traditional data could make the use of big data more effective.
However, concerns of privacy cloud the discussions around big data, as does the lack of a governance structure surrounding the use of big data such as mobile network big data. Moreover, there are other concerns of possible harms surrounding the use of big data for development. This policy paper serves to better inform policymakers of the range of insights that can be extracted from big data sources, and how they can be leveraged to better position countries to measure and monitor the SDGs. It does this by reviewing the current body of literature that has explored the utilization of various big data sources for specific developmental applications. The paper also touches on the discussion around concerns of the use of big data including governance and privacy.