The Daubert process used in the admissibility of evidence contains major guidelines applied in assessing forensic procedures, two of which are testing and error rates. The Digital Forensic Science (DFS) community is growing and the error rates for the forensic tools need to be continuously re-evaluated as the technology changes. This becomes more difficult in the case of mobile phone forensics, because they are proprietary. This paper discusses a database driven approach that could be used to store data about the mobile phone evidence acquisition testing process. This data can then be used to calculate tool error rates, which can be published and used to validate or invalidate the mobile phone acquisition tools.