Data lineage and data provenance are key to the management of scientific data. Not knowing the exact provenance and processing pipeline used to produce a derived data set often re...
An increasing amount of heterogeneous information about scientific research is becoming available on-line. This potentially allows users to explore the information from multiple p...
Provenance in the context of workflows, both for the data they derive and for their specification, is an essential component to allow for result reproducibility, sharing, and know...
This paper describes our experiences in exploring the applicability of software engineering approaches to scientific data management problems. Specifically, this paper describes h...
Leon J. Osterweil, Lori A. Clarke, Aaron M. Elliso...
With the exponential growth of complete genome sequences, the analysis of these sequences is becoming a powerful approach to build genome-scale metabolic models. These models can ...