Innovative Data Anomaly Detection and Transformation for Analysis Applications

The overall objective of this topic is to develop a software toolset to transform extracted data from different database systems and convert it into data packages that create model specific input files that support future modeling, simulation, and analysis tasks. Specifically, the main objective of this proposed Phase I research effort is to develop the concept for a new capability that automates, to the greatest degree practicable, a data transformation process that includes data analysis and validation and results in the creation of model input files that can be used to conduct required analyses. The result of this research is to identify the capabilities and requirements of a data transformation process that starts with data extracted from standard Navy data systems and produces valid model inputs for use in specified models and simulations. In particular, the process and tools required to check the data for errors and inconsistencies, automated means to perform such checks and provide insight into any errors or inconsistencies detected, as well as resolution of those errors or inconsistencies will be addressed.