Harmonizing Data is Hard

Data Lives Pub Date : 2021-02-03 DOI:10.2307/j.ctv1c9hmnq.11
Rob Kitchin
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Abstract

This chapter investigates data interoperability and the difficulties in harmonizing data across jurisdictions, using Ireland/Northern Ireland and Metropolitan Boston as case studies. In the wake of the Good Friday Agreement and the peace process in Northern Ireland, cooperation between public sector bodies in the North and South had increased enormously. However, there was a dearth of cross-border datasets to formulate policy and inform decision-making. It quickly became apparent why there were few, detailed cross-border data visualizations and maps — it was very difficult to create single, common datasets. What was needed was data harmonization where agencies worked together to create comparable datasets. Metropolitan Boston has 101 local government departments, which means it has 101 data regimes. What this means is that, with the exception of data required for state/federal reporting, it is impossible to join datasets together to create comparable metro-wide datasets. This has a number of consequences, reducing spatial intelligence about the characteristics and performance of the city-region, fostering back-to-back planning, limiting potential data-driven innovations to urban governance and management, and stifling the benefits of open data.
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协调数据很困难
本章调查数据互操作性和跨司法管辖区协调数据的困难,使用爱尔兰/北爱尔兰和大都会波士顿作为案例研究。在《耶稣受难日协定》和北爱尔兰的和平进程之后,南北公共部门机构之间的合作大大增加。然而,缺乏制定政策和为决策提供信息的跨境数据集。很快就明白了为什么很少有详细的跨境数据可视化和地图——创建单一的通用数据集非常困难。需要的是数据协调,各机构共同努力创建可比较的数据集。波士顿大都会有101个地方政府部门,这意味着它有101个数据体系。这意味着,除了州/联邦报告所需的数据外,不可能将数据集连接在一起以创建可比较的城市范围的数据集。这带来了一系列后果,降低了关于城市区域特征和绩效的空间智能,助长了背靠背的规划,限制了城市治理和管理中潜在的数据驱动创新,并扼杀了开放数据的好处。
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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