Development of a will-call data mart to store and tag sports medicine data for the integrated biomechanics informatics system (IBIS)

Sports medicine research is a developing field which uses a processed combination of videos, force data, and accelerometer data. Currently raw data is transferred onto hard drives and then manually processed by researchers. However, there is currently no standard method to store the raw, unprocessed data collected by the various sports sensors. These sensors lack the capability to store raw data themselves, so data must be stored elsewhere after collection. Once this data is stored there is no streamlined way to tag or retrieve this data. Sports data is also often shared between collaborating institutions. Institutions need a way to centrally store data to facilitate easier transfer between institutions. In a similar fashion, imaging modalities acquire raw imaging data that is currently stored directly in the modality systems. Therefore, there is a need for a standardized, streamlined system which can both store the raw, unprocessed data and can tag that raw data to allow for more efficient data query. Using an imaging-informatics based approach we have developed a "will-call" data mart which allows users to store raw sports data along with tags. This data mart will allow users to quickly query and retrieve data. The data mart's efficacy will be measured by testing expert and novice users on the speed and ease of using the data mart and comparing it to the traditional method of data storage. In the future this data mart can be integrated into other sports related systems such as the integrated biomechanics informatics system (IBIS).