Data Analysis and Transformation Standards Data analysis22 is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data transformation23 is the process of converting data from one format or structure into another format or structure. Generally, it does so while preserving the semantics of the data. “Datafication” is a technological trend turning many aspects of our life into data (Cukier; see References). This often includes the transformation of unstructured and semi-structured data into structured data. Examples include natural language processing, computer vision, and signal (e.g., satellite imagery) processing. There are standards that apply to data analysis and transformation professionals and processes, and there are standards for software data analysis and transformation programs.