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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Crystallographic Association
2019
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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. |
format | Online Article Text |
id | pubmed-6874509 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | American Crystallographic Association |
record_format | MEDLINE/PubMed |
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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