The National Marine Fisheries Service, Alaska Region, relies on a near-real accounting of landing information. This large volume of data is spot checked by staff for accuracy, but computational methods are not currently in place to help aide the checking of data for error or misreporting. This project would develop computational methods (using R and SQL databases) for outlier detection and identifying irregularities in landed catch information.