This chapter, Develop Data Collection Strategies, begins by discussing the nexus between analysis and collection, that of conceptually modeling the threat. Two examples are provided, one from cybersecurity and one from climate security. The chapter then explores the four basic strategies for collecting data: classified (to include controlled unclassified), publicly available, commercially available, and non-publicly available. It assumes an organization knows what expertise it possesses, what and where knowledge is available, and what is not known or available before it can develop strategies for collecting data that would improve its common knowledge. Discussed under classified data are geospatial intelligence, signals intelligence, measurement and signature intelligence, human intelligence, and other emerging types such as cyber intelligence, social media intelligence, and big data. Discussed under data that are not classified but only used by the intelligence organization are open-source intelligence, non-publicly available information, and commercially available information only accessible by a government. Discussed under data that are not classified and accessible to anyone are publicly available information and commercially available information that anyone can purchase. The chapter concludes with implications for climate security intelligence using two examples, that of big data and human intelligence.