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Annotating datasets with metadata is an important part of organizing and curating data. However, it is a time consuming process and often not done in a rigorous fashion. In this paper, we propose a new approach to annotating datasets through the use of reconstructed provenance. A detailed survey of the related work in this area is given. Additionally, we provide an overview of our approach for both reconstructing provenance and using that provenance to automatically annotate datasets withdblp:conf/esws/GrothGM12 fatcat:ehuyl5uogneidnbijaroamgp4q