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The Integrated Resource for Reproducibility in Macromolecular Crystallography: Experiences of the first four years

It has been increasingly recognized that preservation and public accessibility of primary experimental data are cornerstones necessary for the reproducibility of empirical sciences. In the field of molecular crystallography, many journals now recommend that authors of manuscripts presenting a new cr...

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Autores principales: Grabowski, Marek, Cymborowski, Marcin, Porebski, Przemyslaw J., Osinski, Tomasz, Shabalin, Ivan G., Cooper, David R., Minor, Wladek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Crystallographic Association 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6874509/
https://www.ncbi.nlm.nih.gov/pubmed/31768399
http://dx.doi.org/10.1063/1.5128672
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author Grabowski, Marek
Cymborowski, Marcin
Porebski, Przemyslaw J.
Osinski, Tomasz
Shabalin, Ivan G.
Cooper, David R.
Minor, Wladek
author_facet Grabowski, Marek
Cymborowski, Marcin
Porebski, Przemyslaw J.
Osinski, Tomasz
Shabalin, Ivan G.
Cooper, David R.
Minor, Wladek
author_sort Grabowski, Marek
collection PubMed
description It has been increasingly recognized that preservation and public accessibility of primary experimental data are cornerstones necessary for the reproducibility of empirical sciences. In the field of molecular crystallography, many journals now recommend that authors of manuscripts presenting a new crystal structure should deposit their primary experimental data (X-ray diffraction images) to one of the dedicated resources created in recent years. Here, we describe our experiences developing the Integrated Resource for Reproducibility in Molecular Crystallography (IRRMC) and describe several examples of a crucial role that diffraction data can play in improving previously determined protein structures. In its first four years, several hundred crystallographers have deposited data from over 5200 diffraction experiments performed at over 60 different synchrotron beamlines or home sources all over the world. In addition to improving the resource and curating submitted data, we have been building a pipeline for extraction or, in some cases, reconstruction of the metadata necessary for seamless automated processing. Preliminary analysis indicates that about 95% of the archived data can be automatically reprocessed. A high rate of reprocessing success shows the feasibility of using the automated metadata extraction and automated processing as a validation step for the deposition of raw diffraction images. The IRRMC is guided by the Findable, Accessible, Interoperable, and Reusable data management principles.
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spelling pubmed-68745092019-11-25 The Integrated Resource for Reproducibility in Macromolecular Crystallography: Experiences of the first four years Grabowski, Marek Cymborowski, Marcin Porebski, Przemyslaw J. Osinski, Tomasz Shabalin, Ivan G. Cooper, David R. Minor, Wladek Struct Dyn ARTICLES It has been increasingly recognized that preservation and public accessibility of primary experimental data are cornerstones necessary for the reproducibility of empirical sciences. In the field of molecular crystallography, many journals now recommend that authors of manuscripts presenting a new crystal structure should deposit their primary experimental data (X-ray diffraction images) to one of the dedicated resources created in recent years. Here, we describe our experiences developing the Integrated Resource for Reproducibility in Molecular Crystallography (IRRMC) and describe several examples of a crucial role that diffraction data can play in improving previously determined protein structures. In its first four years, several hundred crystallographers have deposited data from over 5200 diffraction experiments performed at over 60 different synchrotron beamlines or home sources all over the world. In addition to improving the resource and curating submitted data, we have been building a pipeline for extraction or, in some cases, reconstruction of the metadata necessary for seamless automated processing. Preliminary analysis indicates that about 95% of the archived data can be automatically reprocessed. A high rate of reprocessing success shows the feasibility of using the automated metadata extraction and automated processing as a validation step for the deposition of raw diffraction images. The IRRMC is guided by the Findable, Accessible, Interoperable, and Reusable data management principles. American Crystallographic Association 2019-11-22 /pmc/articles/PMC6874509/ /pubmed/31768399 http://dx.doi.org/10.1063/1.5128672 Text en © 2019 Author(s). 2329-7778/2019/6(6)/064301/8 All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle ARTICLES
Grabowski, Marek
Cymborowski, Marcin
Porebski, Przemyslaw J.
Osinski, Tomasz
Shabalin, Ivan G.
Cooper, David R.
Minor, Wladek
The Integrated Resource for Reproducibility in Macromolecular Crystallography: Experiences of the first four years
title The Integrated Resource for Reproducibility in Macromolecular Crystallography: Experiences of the first four years
title_full The Integrated Resource for Reproducibility in Macromolecular Crystallography: Experiences of the first four years
title_fullStr The Integrated Resource for Reproducibility in Macromolecular Crystallography: Experiences of the first four years
title_full_unstemmed The Integrated Resource for Reproducibility in Macromolecular Crystallography: Experiences of the first four years
title_short The Integrated Resource for Reproducibility in Macromolecular Crystallography: Experiences of the first four years
title_sort integrated resource for reproducibility in macromolecular crystallography: experiences of the first four years
topic ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6874509/
https://www.ncbi.nlm.nih.gov/pubmed/31768399
http://dx.doi.org/10.1063/1.5128672
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