Incorrect or outdated data is a common problem when working with Linked Data in real world applications. Linked Data is distributed over the web and under control of various publishers. It is difficult for data publishers to ensure the quality and timeliness of their data by theirselves, though they might receive individual complaints by data users, who identified incorrect or missing data. Indeed, we see Linked Data users equally responsible for the quality of the datasets they use. PatchR is a vocabulary to report incorrect data and to propose changes to correct them. Based on this vocabulary a framework is suggested that allows users to efficiently report and data publishers to handle change requests for their datasets.