Processing large datasets is one of the more daunting and tedious tasks faced by the computational chemist. The analysis tools described above greatly facilitate the processing of results from each individual calculation, and the ability to parse multiple output files simultaneously allows for easy consolidation of data. However, the result sub-module operates on individual log-files (or the Digichem-specific .sir results file), which is only possible while the calculation data remains on the server. Often, each user is granted only a limited file-storage quota, and so it is beneficial to remove completed calculations from the cluster as soon as they are completed. For large computational screens, this means that not all of the log files will be stored on the cluster at the same time, and so multiple rounds of analysis will need to be performed to collect all the data, or alternatively log files will need to be re-uploaded to the cluster for analysis. Completed log files are also occasionally lost, particularly in long-running studies, and in these cases the calculation must be repeated to obtain the desired data. Meanwhile, in studies that involve multiple researchers, the `result` sub-module does not provide a satisfactory solution for merging the data from each researcher without sharing the underlying log files, which may be impractical if the files are large.