There are limited formal opportunities for biomedical and health science trainees to acquire essential data science skills. Along with the growth in biomedical and health data, there will be a need for researchers to develop approaches for leveraging them todiscoverandvalidatehypotheses.TheTrainingandTeachingfor Transforming Big Data to Knowledge (T3BD2K) Initiative will address these needs by: (1) Developing a tenweek short course to teach pragmatic data science skills? and (2) Coordinating data science education across training programs in Rhode Island. The T3BD2KInitiativewilldirectlyimpactallcurrentlyfundedNIH training programs and be developed synergistically with the Data Science Initiative at Brown University. A significant artifact of this training program will be a publicly available curriculum and associated teaching materials aimed at biomedical trainees for providing pragmatic training in biomedical informatics and data science (e.g., biostatistics, computer science, andappliedmathematics),alongsidefundamentalprinciplesof teamscience,thatcouldbeutilizedbystudentsnationally.Allcoursematerialswillbemadeavailableusinga CreativeCommonsCCBY4.0license,andmadeavailablethroughpubliclyaccessiblesystems(GitBooksand GitHub). Additionally, all lectures will be video captured, withthegoaloftransitioningatraditionalformatmode for teaching the course to a ?flipped? classroom. The course will culminate in a symposiumthatshowcases participantsapplicationsofdatascienceinbiomedicalandhealthcontexts,withprojectabstracts,posters,and oral presentations being made available through a publicly accessible data repository that is maintained by Brown University (the Brown Digital Repository [BDR]). The overall success of the T3BD2KInitiativewillbe poisedtotransformpragmaticdatasciencetrainingandteachinginRhodeIsland,withthepotentialtoinform biomedicaldatascientisttrainingnationally.
TheTrainingandTeachingforTransformingBigDatatoKnowledge(T3BD2K)Initiativewilladdressanacute need for developing educational opportunities that incorporate pragmatic research experiences for the biomedical researchers of tomorrow to develop skills to best leverage electronic biological and health data, including those from personal genomes, electronic health record systems, disease registries, and claims databases.
