Dealing with reusability and reproducibility for scientific workflows

Abstract

Scientific Workflow Management Systems (SWfMS) are being widely used to represent and execute scientific experiments. One particular SWfMS feature that has received much attention by the scientific community is the automatic capture of provenance data. This allows users to track information about which resources and parameters were used to obtain such results, but also other important information to validate and publish an experiment. In the present work, we propose an approach for modeling and storing data that is consumed and produced by workflows executed by SWfMS. This approach has two main objectives: it aims (i) to support the strict reproducibility of an experiment and (ii) to allow the reuse of produced artifacts by keeping information about its origin.

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