June 19, 2015 | Why is the standardization process for clinical data still manual? Modern data techniques excel at replicating small functions across vast seas of data, but this challenge is quite different. Multiple versions of standard schemas, legacy data models, custom experimental domains, and locked or proprietary formats from previous contractor-created datasets are highly resistant to mass organization efforts. Organizing data at this scale, only to return to square one when a new data standard is released, is a serious risk for any data-conscious enterprise. Clinical Informatics News