1. A method of processing one or more user entries in a user data entry system, comprising the steps of: obtaining context data associated with one or more events of interest, wherein the context data comprises patterns of context data that are derived from mining stored context data associated with the one or more events of interest, wherein the events of interest are pre-specified events for which context data is collected and stored for use as validation data to validate and reconcile user entries of a user, wherein the context data comprises at least one of a proximity to a location, a proximity to a person, a proximity to a device, a proximity to a person satisfying a condition, and a proximity to a location during a specified time interval; associating at least a portion of the obtained context data of the user with one or more user entries representing the one or more events of interest; evaluating at least a portion of the one or more user entries responsive to at least a portion of the context data, wherein evaluating comprises reconciling the context data with the one or more user entries to determine whether a user entry is valid, determine a likelihood that a user entry is valid, determine whether a user entry is missing and determine whether an element of a user entry is missing, in connection with the one or more events of interest; and providing an indication of the evaluation, wherein the steps of obtaining, associating, evaluating, and providing are implemented by a computer.