This document discusses measurement, analysis, and sharing of behavioral data. It notes that a lack of sharing has been a problem in the behavioral sciences. Continuous and categorical measurement tools have been developed, along with computer vision models and tools for analyzing time-series data. However, each lab typically reinvents these tools. The document argues that behavioral databases should be shared to facilitate replication and advance the field. Standardized measurement systems like FACS require extensive training. Automated measurement tools could help instantiate these systems more broadly. Sharing data would help identify patterns and advance collaborative research. Issues like privacy and IRB approval need to be addressed but are surmountable.