This chapter examines how data is produced, circulated, and used concerning climate politics, particularly climate informatics. This research employs the population, intervention, comparison, and outcome (PICO) approach to explore essential features of climate data politics: stakeholders, interference, contrasts, and consequences. The chapter also uses the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework to conduct a systematic literature review and properly synthesise the studies, cases, and empirical data about climate data governance. The final sample consisted of thirty-six seminal studies. Several important issues are brought out, mainly issues of ethics and privacy, data coverage, and issues that stem from the nation's socio-political fabric, making it difficult to repose faith in data. However, it also outlines major prospects like enhancing transparency tools, recognising climate issues as a learning process in policymaking, and sharing climate knowledge worldwide. It presents and discusses examples of one country, city, and company where big data is used and failures of data-driven approaches, especially in carbon markets, disaster response, and the Paris Agreement. When providing equal access to data and incorporating artificial intelligence (AI) and blockchain, policymakers can build a more efficient and cooperative approach to meet the climate change challenges. Hence, climate informatics will only succeed if data practices are coupled with justice, equity, and international cooperation.