Crime script analysis is becoming an increasingly used approach for examining organized crime. Crime scripts can use data from multiple sources, including open sources of intelligence (OSINT). Limited guidance exists, however, on how to populate the content of a crime script with data, and validate these data. This results in crime scripts being generated intuitively, restricts them from being scrutinised for their quality, and limits the opportunity to combine or compare crime scripts. We introduce a practical process for populating the content of a crime script that involves simple coding procedures and uses document analysis to quality assure data that are extracted from open sources. We illustrate the process with the example of theft of oil from pipelines in Mexico committed by organized crime groups. The structured methodical process we introduce produces a crime script of high quality, helps to improve the systematic analysis of decision-making performed by members of organized crime groups, and can improve the identification of opportunities for crime control.

犯罪脚本分析正成为越来越多地用于检查有组织犯罪的方法。犯罪脚本可以使用来自多个来源的数据，包括开放情报源 (OSINT)。然而，关于如何用数据填充犯罪脚本的内容并验证这些数据的指导有限。这导致犯罪脚本被直观地生成，限制了它们的质量被审查，并限制了组合或比较犯罪脚本的机会。我们介绍了一种用于填充犯罪脚本内容的实用过程，该过程涉及简单的编码程序并使用文档分析来保证从开源中提取的数据的质量。我们以有组织犯罪集团从墨西哥的管道中盗窃石油为例来说明这一过程。