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Curating Scientific Workflows for Biomolecular Nuclear Magnetic Resonance Spectroscopy

This paper describes our recent and ongoing efforts for enhancing the curation of scientific workflows to improve reproducibility and reusability of biomolecular nuclear magnetic resonance (bioNMR) data. Our efforts have focused on both developing a workflow management system, called CONNJUR Workflo...

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Detalles Bibliográficos
Autores principales: Heintz, Douglas, Gryk, Michael R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6499392/
https://www.ncbi.nlm.nih.gov/pubmed/31061674
http://dx.doi.org/10.2218/ijdc.v13i1.657
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author Heintz, Douglas
Gryk, Michael R.
author_facet Heintz, Douglas
Gryk, Michael R.
author_sort Heintz, Douglas
collection PubMed
description This paper describes our recent and ongoing efforts for enhancing the curation of scientific workflows to improve reproducibility and reusability of biomolecular nuclear magnetic resonance (bioNMR) data. Our efforts have focused on both developing a workflow management system, called CONNJUR Workflow Builder (CWB), as well as refactoring our workflow data model to make use of the PREMIS model for digital preservation. This revised workflow management system will be available through the NMRbox cloud-computing platform for bioNMR. In addition, we are implementing a new file structure which bundles the original binary data files along with PREMIS XML records describing the provenance of the data. These are packaged together using a standardized file archive utility. In this manner, the provenance and data curation information is maintained together along with the scientific data. The benefits and limitations of these approaches as well as future directions are discussed.
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spelling pubmed-64993922019-07-19 Curating Scientific Workflows for Biomolecular Nuclear Magnetic Resonance Spectroscopy Heintz, Douglas Gryk, Michael R. Int J Digit Curation Article This paper describes our recent and ongoing efforts for enhancing the curation of scientific workflows to improve reproducibility and reusability of biomolecular nuclear magnetic resonance (bioNMR) data. Our efforts have focused on both developing a workflow management system, called CONNJUR Workflow Builder (CWB), as well as refactoring our workflow data model to make use of the PREMIS model for digital preservation. This revised workflow management system will be available through the NMRbox cloud-computing platform for bioNMR. In addition, we are implementing a new file structure which bundles the original binary data files along with PREMIS XML records describing the provenance of the data. These are packaged together using a standardized file archive utility. In this manner, the provenance and data curation information is maintained together along with the scientific data. The benefits and limitations of these approaches as well as future directions are discussed. 2019-04-19 2018 /pmc/articles/PMC6499392/ /pubmed/31061674 http://dx.doi.org/10.2218/ijdc.v13i1.657 Text en This work is released under a Creative Commons Attribution 4.0 International Licence. For details please see http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Heintz, Douglas
Gryk, Michael R.
Curating Scientific Workflows for Biomolecular Nuclear Magnetic Resonance Spectroscopy
title Curating Scientific Workflows for Biomolecular Nuclear Magnetic Resonance Spectroscopy
title_full Curating Scientific Workflows for Biomolecular Nuclear Magnetic Resonance Spectroscopy
title_fullStr Curating Scientific Workflows for Biomolecular Nuclear Magnetic Resonance Spectroscopy
title_full_unstemmed Curating Scientific Workflows for Biomolecular Nuclear Magnetic Resonance Spectroscopy
title_short Curating Scientific Workflows for Biomolecular Nuclear Magnetic Resonance Spectroscopy
title_sort curating scientific workflows for biomolecular nuclear magnetic resonance spectroscopy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6499392/
https://www.ncbi.nlm.nih.gov/pubmed/31061674
http://dx.doi.org/10.2218/ijdc.v13i1.657
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