For a game to be used for learning research, data on how it is played needs to be collected.   Event data is the raw information that comes out of a game as players interact with it. “If you want to do analyses from what players are doing within games, we need to make sure we've captured the raw material that downstream analytic processes can actually use,” explained Erik Harpstead, who together with Luke Swanson and Jeci Younger have been pooling their experience designing, fielding, and analyzing learning games to develop a shared schema for game event data. This work was supported by the National Science Foundation, Grant # 2243668