Computational reproducibility

Abstract

Computational experiments have become an integral part of the scientific method, but reproducing, archiving, and querying them is still a challenge. The first barrier to a wider adoption is the fact that it is hard both for authors to derive a compendium that encapsulates all the components needed to reproduce a result and for reviewers to verify the results. In this tutorial, we will present a series of guidelines and, through hands-on examples, review existing tools to help authors create of reproducible results. We will also outline open problems and new directions for database-related research having to do with querying computational experiments.

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