The Department of Defense (DOD) is seeking proposals for improved digital engineering techniques for test data leveraging. The objective is to develop a data analysis tool methodology that can capture relevant test parameters from past data and create a digital engineering-level model capable of evaluating variables and providing accurate predictive answers. The models should be able to quickly learn from new data to improve predictions. The focus is on aircraft survivability and ballistic test data, which have been collected for over sixty years. The goal is to convert this data into a usable form for data analysis and extraction of answers to assist in new test and evaluation predictions. The lack of clarity and insufficient background information in current test reports often leads to duplication of effort and additional cost and time. The digital engineering paradigm requires more test data to be performed earlier to support design and trade study activities, but the lack of traceability and interpretability of past data makes this difficult. The Phase I effort will focus on demonstrating a data encapsulation methodology applicable to aircraft survivability test data, while Phase II will involve the development of an engineering-level model for a set of ballistic test data. The potential applications of this research extend beyond military development efforts to commercial applications as well. The project duration is not specified, but interested parties should refer to the solicitation notice for more information. The funding specifics are also not provided. For more details and to submit a proposal, interested parties can visit the DOD SBIR 24.1 BAA solicitation page on grants.gov.