Applying Chimera virtual data concepts to cluster finding in the Sloan Sky Survey
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
Applying provenance in distributed organ transplant management
IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
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The lineage of a datum records its processing history. Because such information can be used to trace the source of anomalies and errors in processed data sets, it is valuable to users for a variety of applications including investigation of anomalies and debugging. Traditional data lineage approaches rely on metadata. However, metadata does not scale well to fine-grained lineage, especially in large data sets. For example, it is not feasible to store all the information necessary to trace from a specific floating point value in a processed data set to a particular satellite image pixel in a source data set. In this paper, we propose a novel method to support fine-grained data lineage. Rather than relying on metadata, our approach lazily computes lineage using a limited amount of information about the processing operators and the base data. We introduce the notions of weak invertibility and verification. While our system does not perfectly invert the data, it uses weak invertibility and verification to provide a number of guarantees about the lineage it generates. We discuss the implementation of weak invertibility and verification in an object-relational database management system.