Workflows and Provenance: Toward Information Science Solutions for the Natural Sciences
Gryk, Michael R.; Ludäscher, Bertram
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https://hdl.handle.net/2142/103582
Description
Title
Workflows and Provenance: Toward Information Science Solutions for the Natural Sciences
Author(s)
Gryk, Michael R.
Ludäscher, Bertram
Issue Date
2017
Keyword(s)
Reproducibility
Provenance
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.
Publisher
Johns Hopkins University Press. The School of Information Sciences at Illinois. University of Illinois at Urbana-Champaign.
Series/Report Name or Number
Library Trends 65 (4). Spring 2017
Type of Resource
text
Language
en
Permalink
http://hdl.handle.net/2142/103582
DOI
https://doi.org/10.1353/lib.2017.0018
Copyright and License Information
Copyright 2017 Board of Trustees of the University of Illinois
Library Trends 65 (4) Spring 2017: Spanning the Information Sciences : A Celebration Marking Seventy Years of the Doctoral Program in the School of Information Sciences, University of Illinois at Urbana-Champaign. Edited by Alistair Black and Emily J.M. Knox.
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