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Title:Workflows and Provenance: Toward Information Science Solutions for the Natural Sciences
Author(s):Gryk, Michael R.; Ludäscher, Bertram
Natural sciences
Abstract:The era of big data and ubiquitous computation has brought with it concerns about ensuring reproducibility in this new research environment. It is easy to assume that computational methods self-document by their very nature of being exact, deterministic processes. However, similar to laboratory experiments, ensuring reproducibility in the computational realm requires the documentation of both the protocols used (workflows), as well as a detailed description of the computational environment: algorithms, implementations, software environments, and the data ingested and execution logs of the computation. These two aspects of computational reproducibility (workflows and execution details) are discussed within the context of biomolecular Nuclear Magnetic Resonance spectroscopy (bioNMR), as well as the PRIMAD model for computational reproducibility.
Issue Date:2017
Publisher:Johns Hopkins University Press. The School of Information Sciences at Illinois. University of Illinois at Urbana-Champaign.
Citation Info:Gryk, Michael R. & Ludäscher, Bertram. "Workflows and Provenance: Toward Information Science Solutions for the Natural Sciences." Library Trends, vol. 65 no. 4, 2017, pp. 555-562. Project MUSE, doi:10.1353/lib.2017.0018
Series/Report:Library Trends 65 (4). Spring 2017
Rights Information:Copyright 2017 Board of Trustees of the University of Illinois
Date Available in IDEALS:2019-04-22

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