Provenance for Computational Tasks: A Survey

Juliana Freire · David Koop · Emanuele Santos · Cl Silva

511 citations0/0 files storedComputing in Science & Engineering

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Scientific Computing and Data Management Research Data Management Practices Distributed and Parallel Computing Systems

Abstract

The problem of systematically capturing and managing provenance for computational tasks has recently received significant attention because of its relevance to a wide range of domains and applications. The authors give an overview of important concepts related to provenance management, so that potential users can make informed decisions when selecting or designing a provenance solution.

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2005A survey of data provenance in e-science 2005Taverna: lessons in creating a workflow environment for the life sciences

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2008Provenance and scientific workflows 2017A survey on provenance: What for? What form? What from?2019A Large-Scale Study About Quality and Reproducibility of Jupyter Notebooks 2018Reproducibility in Scientific Computing 2015noWorkflow: Capturing and Analyzing Provenance of Scripts 2009Towards a Taxonomy of Provenance in Scientific Workflow Management Systems 2010Towards supporting the life cycle of large scale scientific experiments 2008Business Provenance – A Technology to Increase Traceability of End-to-End Operations

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