Xie, ZhiwuChen, YinlinJiang, TingtingGriffin, JulieWalters, TylerTarazaga, Pablo AlbertoKasarda, Mary E.2016-06-262016-06-262015-12-18978-3-319-27973-20302-9743http://hdl.handle.net/10919/71473We describe a use and reuse driven digital repository integrated with lightweight data analysis capabilities provided by the Docker framework. Using building sensor data collected from the Virginia Tech Goodwin Hall Living La- boratory, we perform evaluations using Amazon EC2 and Container Service with a Fedora 4 repository backed with storage in Amazon S3. The results con- firm the viability and benefits of this approach.en-USCreative Commons Attribution-NonCommercial-NoDerivs 3.0 United StatesBig dataData managementDockerScholarly digital divideUse and reuse driven approachOn-Demand Big Data Analysis in Digital RepositoriesBook chapterDigital Libraries: Providing Quality Informationhttps://doi.org/10.1007/978-3-319-27974-9_299469