There are a few data schema standards already available for specific applications and use cases, and a number of other data-related standards currently under development. NIIMBL would like to compliment these existing and new standards, and avoid developing redundant data schema solutions.
The consultant will clearly document the findings from the entire project in a summary report which will be provided to NIIMBL BD Program members. This report and other materials will be used to prepare a roadmap of prioritized needs to be addressed by the program. All records obtained from research, interviews, and analysis will be securely stored in the provided knowledgebase.
This initiative drives significant ROI by eliminating the sunk costs of redundant development, potentially reducing engineering overhead by 20–30% by ensuring industry members utilize validated global standards rather than building expensive, isolated data silos.
By identifying and closing interoperability gaps, industry members can accelerate tech transfers by up to 40% and improve product speed-to-market through seamless data exchange across the global manufacturing network and external partners. Ultimately, this project delivers a prioritized strategic roadmap that secures the foundational architecture necessary to scale high-value AI and Big Data analytics enterprise-wide, targeting a 15–25% increase in overall operational throughput.
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Boehringer Ingelheim
Crown Point Technologies, LLC
EMD Millipore Corporation
Federal Stakeholder: National Institute of Standards and Technology
Merck Sharp & Dohme LLC
Open Applications Group, Inc.
