The code, data structures, experimental design and parameters, documentation, and figures are all important for scholarship communication and result replication. The author proposes the reproducible research standard for scientific researchers to use for all components of their scholarship that should encourage reproducible scientific investigation through attribution, facilitate greater collaboration, and promote engagement of the larger community in scientific learning and discovery.