Breaking into new Data-Spaces: Infrastructure for Open Community Science

Despite being freely accessible, open online community data can be difficult to use effectively. To access and analyze large amounts of data, researchers must become familiar with the meaning of data values. Then they must also find a way to obtain and process the datasets to extract their desired vectors of behavior and content. This process is fraught with problems that are solved over and over again by each research team/lab that breaks into a new dataset. Those who lack the necessary technical skills may never be able to start.