The Quixote project: Collaborative and Open Quantum Chemistry data management in the Internet age

<p>Abstract</p> <p>Computational Quantum Chemistry has developed into a powerful, efficient, reliable and increasingly routine tool for exploring the structure and properties of small to medium sized molecules. Many thousands of calculations are performed every day, some offering r...

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Main Authors: Adams Sam, de Castro Pablo, Echenique Pablo, Estrada Jorge, Hanwell Marcus D, Murray-Rust Peter, Sherwood Paul, Thomas Jens, Townsend Joe
Format: Article
Language:English
Published: BMC 2011-10-01
Series:Journal of Cheminformatics
Online Access:http://www.jcheminf.com/content/3/1/38
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spelling doaj-0a1e0c38161d42fd9490befc2e0c03f42020-11-24T20:56:03ZengBMCJournal of Cheminformatics1758-29462011-10-01313810.1186/1758-2946-3-38The Quixote project: Collaborative and Open Quantum Chemistry data management in the Internet ageAdams Samde Castro PabloEchenique PabloEstrada JorgeHanwell Marcus DMurray-Rust PeterSherwood PaulThomas JensTownsend Joe<p>Abstract</p> <p>Computational Quantum Chemistry has developed into a powerful, efficient, reliable and increasingly routine tool for exploring the structure and properties of small to medium sized molecules. Many thousands of calculations are performed every day, some offering results which approach experimental accuracy. However, in contrast to other disciplines, such as crystallography, or bioinformatics, where standard formats and well-known, unified databases exist, this QC data is generally destined to remain locally held in files which are not designed to be machine-readable. Only a very small subset of these results will become accessible to the wider community through publication.</p> <p>In this paper we describe how the Quixote Project is developing the infrastructure required to convert output from a number of different molecular quantum chemistry packages to a common semantically rich, machine-readable format and to build respositories of QC results. Such an infrastructure offers benefits at many levels. The standardised representation of the results will facilitate software interoperability, for example making it easier for analysis tools to take data from different QC packages, and will also help with archival and deposition of results. The repository infrastructure, which is lightweight and built using Open software components, can be implemented at individual researcher, project, organisation or community level, offering the exciting possibility that in future many of these QC results can be made publically available, to be searched and interpreted just as crystallography and bioinformatics results are today.</p> <p>Although we believe that quantum chemists will appreciate the contribution the Quixote infrastructure can make to the organisation and and exchange of their results, we anticipate that greater rewards will come from enabling their results to be consumed by a wider community. As the respositories grow they will become a valuable source of chemical data for use by other disciplines in both research and education.</p> <p>The Quixote project is unconventional in that the infrastructure is being implemented in advance of a full definition of the data model which will eventually underpin it. We believe that a working system which offers real value to researchers based on tools and shared, searchable repositories will encourage early participation from a broader community, including both producers and consumers of data. In the early stages, searching and indexing can be performed on the chemical subject of the calculations, and well defined calculation meta-data. The process of defining more specific quantum chemical definitions, adding them to dictionaries and extracting them consistently from the results of the various software packages can then proceed in an incremental manner, adding additional value at each stage.</p> <p>Not only will these results help to change the data management model in the field of Quantum Chemistry, but the methodology can be applied to other pressing problems related to data in computational and experimental science.</p> http://www.jcheminf.com/content/3/1/38
collection DOAJ
language English
format Article
sources DOAJ
author Adams Sam
de Castro Pablo
Echenique Pablo
Estrada Jorge
Hanwell Marcus D
Murray-Rust Peter
Sherwood Paul
Thomas Jens
Townsend Joe
spellingShingle Adams Sam
de Castro Pablo
Echenique Pablo
Estrada Jorge
Hanwell Marcus D
Murray-Rust Peter
Sherwood Paul
Thomas Jens
Townsend Joe
The Quixote project: Collaborative and Open Quantum Chemistry data management in the Internet age
Journal of Cheminformatics
author_facet Adams Sam
de Castro Pablo
Echenique Pablo
Estrada Jorge
Hanwell Marcus D
Murray-Rust Peter
Sherwood Paul
Thomas Jens
Townsend Joe
author_sort Adams Sam
title The Quixote project: Collaborative and Open Quantum Chemistry data management in the Internet age
title_short The Quixote project: Collaborative and Open Quantum Chemistry data management in the Internet age
title_full The Quixote project: Collaborative and Open Quantum Chemistry data management in the Internet age
title_fullStr The Quixote project: Collaborative and Open Quantum Chemistry data management in the Internet age
title_full_unstemmed The Quixote project: Collaborative and Open Quantum Chemistry data management in the Internet age
title_sort quixote project: collaborative and open quantum chemistry data management in the internet age
publisher BMC
series Journal of Cheminformatics
issn 1758-2946
publishDate 2011-10-01
description <p>Abstract</p> <p>Computational Quantum Chemistry has developed into a powerful, efficient, reliable and increasingly routine tool for exploring the structure and properties of small to medium sized molecules. Many thousands of calculations are performed every day, some offering results which approach experimental accuracy. However, in contrast to other disciplines, such as crystallography, or bioinformatics, where standard formats and well-known, unified databases exist, this QC data is generally destined to remain locally held in files which are not designed to be machine-readable. Only a very small subset of these results will become accessible to the wider community through publication.</p> <p>In this paper we describe how the Quixote Project is developing the infrastructure required to convert output from a number of different molecular quantum chemistry packages to a common semantically rich, machine-readable format and to build respositories of QC results. Such an infrastructure offers benefits at many levels. The standardised representation of the results will facilitate software interoperability, for example making it easier for analysis tools to take data from different QC packages, and will also help with archival and deposition of results. The repository infrastructure, which is lightweight and built using Open software components, can be implemented at individual researcher, project, organisation or community level, offering the exciting possibility that in future many of these QC results can be made publically available, to be searched and interpreted just as crystallography and bioinformatics results are today.</p> <p>Although we believe that quantum chemists will appreciate the contribution the Quixote infrastructure can make to the organisation and and exchange of their results, we anticipate that greater rewards will come from enabling their results to be consumed by a wider community. As the respositories grow they will become a valuable source of chemical data for use by other disciplines in both research and education.</p> <p>The Quixote project is unconventional in that the infrastructure is being implemented in advance of a full definition of the data model which will eventually underpin it. We believe that a working system which offers real value to researchers based on tools and shared, searchable repositories will encourage early participation from a broader community, including both producers and consumers of data. In the early stages, searching and indexing can be performed on the chemical subject of the calculations, and well defined calculation meta-data. The process of defining more specific quantum chemical definitions, adding them to dictionaries and extracting them consistently from the results of the various software packages can then proceed in an incremental manner, adding additional value at each stage.</p> <p>Not only will these results help to change the data management model in the field of Quantum Chemistry, but the methodology can be applied to other pressing problems related to data in computational and experimental science.</p>
url http://www.jcheminf.com/content/3/1/38
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