An initial review of NE-KAMS validation data quality standards.

To meet the increasingly high expectations of fidelity and predictive capability of physics and engineering simulation tools, more stringent validation testing of such tools is required. One ubiquitous impediment to more rigorous testing is the lack of sufficiently detailed information on physical experiments. When experiments are not well characterized, the experimental data do not sufficiently constrain the numerical model and validation studies are inconclusive. The NE-KAMS validation data standards and requirements provide a framework to identify the information about an experiment that a computationalist will need in order to perform a definitive validation of a model of interest. In this work, the first assessments using the NEKAMS standards and requirements are conducted. The objectives are to improve the standards and requirements and to identify the elements of an optimal assessment process.