Citation analysis needs an in-depth transformation. Current systems have been long criticized due to shortcomings such as lack of coverage of publications and low accuracy of the citation data. Surprisingly, incomplete or incorrect data are used to make important decisions about researchers' careers. We argue that a new approach based on the collection of citation data at the time the papers are created can overcome current limitations, and we propose a new framework in which the research community is the owner of a Global Citation Registry characterized by high quality citation data handled automatically. We envision a registry that will be accessible by all the interested parties and will be the source from which the different impact models can be applied.