Automating Data Rights Understanding
The Air Force lacks a consistent method for contractor surveillance of data due as part of contract performance. Air Force programs have a critical need for data to appropriately develop, support, and sustain Air Force weapon systems.
As part of a Phase I SBIR, ILW’s proposed solution leverages machine learning (ML), natural language processing (NLP), and computer vision techniques to automate verification of accurate and compliant data rights assertions and technical drawing markings, providing Air Force programs with prompt understanding of data rights. This lays the foundation for automating verification of the justification of data rights assertions by leveraging information in the Integrated Master Plan (IMP) and Integrated Master Schedule (IMS).
- Identification of data for which Air Force has full or restrictive rights
- Provides mechanism to reduce time and effort to manually vet contracts and associated documents for understanding of Air Force data rights
- Enables proper data rights contract language to be utilized up front on contract establishment
- Reduce manual efforts for identifying and validating data rights and what the government owns or has access to
- Support lifecycle supportability decision making and cost reduction
- NLP, computer vision technique, ML algorithms
- Image processing, optical character recognition, text extraction, name entity recognition, supervised ML classification