Referencing Sources of Molecular Spectroscopic Data in the Era of Data Science: Application to the HITRAN and AMBDAS Databases

The application described has been designed to create bibliographic entries in large databases with diverse sources automatically, which reduces both the frequency of mistakes and the workload for the administrators. This new system uniquely identifies each reference from its digital object identifi...

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Main Authors: Frances M. Skinner, Iouli E. Gordon, Christian Hill, Robert J. Hargreaves, Kelly E. Lockhart, Laurence S. Rothman
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Atoms
Subjects:
Online Access:https://www.mdpi.com/2218-2004/8/2/16
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author Frances M. Skinner
Iouli E. Gordon
Christian Hill
Robert J. Hargreaves
Kelly E. Lockhart
Laurence S. Rothman
author_facet Frances M. Skinner
Iouli E. Gordon
Christian Hill
Robert J. Hargreaves
Kelly E. Lockhart
Laurence S. Rothman
author_sort Frances M. Skinner
collection DOAJ
description The application described has been designed to create bibliographic entries in large databases with diverse sources automatically, which reduces both the frequency of mistakes and the workload for the administrators. This new system uniquely identifies each reference from its digital object identifier (DOI) and retrieves the corresponding bibliographic information from any of several online services, including the SAO/NASA Astrophysics Data Systems (ADS) and CrossRef APIs. Once parsed into a relational database, the software is able to produce bibliographies in any of several formats, including HTML and BibTeX, for use on websites or printed articles. The application is provided free-of-charge for general use by any scientific database. The power of this application is demonstrated when used to populate reference data for the HITRAN and AMBDAS databases as test cases. HITRAN contains data that is provided by researchers and collaborators throughout the spectroscopic community. These contributors are accredited for their contributions through the bibliography produced alongside the data returned by an online search in HITRAN. Prior to the work presented here, HITRAN and AMBDAS created these bibliographies manually, which is a tedious, time-consuming and error-prone process. The complete code for the new referencing system can be found on the HITRAN<i>online</i> GitHub website.
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spelling doaj.art-d80172c8a3f74b81952e583b7cb623ce2023-11-19T23:05:52ZengMDPI AGAtoms2218-20042020-04-01821610.3390/atoms8020016Referencing Sources of Molecular Spectroscopic Data in the Era of Data Science: Application to the HITRAN and AMBDAS DatabasesFrances M. Skinner0Iouli E. Gordon1Christian Hill2Robert J. Hargreaves3Kelly E. Lockhart4Laurence S. Rothman5Atomic and Molecular Physics, Center for Astrophysics|Harvard & Smithsonian, Cambridge, MA 02138, USAAtomic and Molecular Physics, Center for Astrophysics|Harvard & Smithsonian, Cambridge, MA 02138, USANuclear Data Section, International Atomic Energy Agency, Vienna International Centre, PO Box 100, A-1400 Vienna, AustriaAtomic and Molecular Physics, Center for Astrophysics|Harvard & Smithsonian, Cambridge, MA 02138, USAThe SAO/NASA Astrophysics Data System (ADS), Center for Astrophysics|Harvard & Smithsonian, Cambridge, MA 02138, USAAtomic and Molecular Physics, Center for Astrophysics|Harvard & Smithsonian, Cambridge, MA 02138, USAThe application described has been designed to create bibliographic entries in large databases with diverse sources automatically, which reduces both the frequency of mistakes and the workload for the administrators. This new system uniquely identifies each reference from its digital object identifier (DOI) and retrieves the corresponding bibliographic information from any of several online services, including the SAO/NASA Astrophysics Data Systems (ADS) and CrossRef APIs. Once parsed into a relational database, the software is able to produce bibliographies in any of several formats, including HTML and BibTeX, for use on websites or printed articles. The application is provided free-of-charge for general use by any scientific database. The power of this application is demonstrated when used to populate reference data for the HITRAN and AMBDAS databases as test cases. HITRAN contains data that is provided by researchers and collaborators throughout the spectroscopic community. These contributors are accredited for their contributions through the bibliography produced alongside the data returned by an online search in HITRAN. Prior to the work presented here, HITRAN and AMBDAS created these bibliographies manually, which is a tedious, time-consuming and error-prone process. The complete code for the new referencing system can be found on the HITRAN<i>online</i> GitHub website.https://www.mdpi.com/2218-2004/8/2/16HITRANdatabasebibliographycitationreference
spellingShingle Frances M. Skinner
Iouli E. Gordon
Christian Hill
Robert J. Hargreaves
Kelly E. Lockhart
Laurence S. Rothman
Referencing Sources of Molecular Spectroscopic Data in the Era of Data Science: Application to the HITRAN and AMBDAS Databases
Atoms
HITRAN
database
bibliography
citation
reference
title Referencing Sources of Molecular Spectroscopic Data in the Era of Data Science: Application to the HITRAN and AMBDAS Databases
title_full Referencing Sources of Molecular Spectroscopic Data in the Era of Data Science: Application to the HITRAN and AMBDAS Databases
title_fullStr Referencing Sources of Molecular Spectroscopic Data in the Era of Data Science: Application to the HITRAN and AMBDAS Databases
title_full_unstemmed Referencing Sources of Molecular Spectroscopic Data in the Era of Data Science: Application to the HITRAN and AMBDAS Databases
title_short Referencing Sources of Molecular Spectroscopic Data in the Era of Data Science: Application to the HITRAN and AMBDAS Databases
title_sort referencing sources of molecular spectroscopic data in the era of data science application to the hitran and ambdas databases
topic HITRAN
database
bibliography
citation
reference
url https://www.mdpi.com/2218-2004/8/2/16
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