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Improving Interoperability by Incorporating UnitsML Into Markup Languages
Maintaining the integrity of analytical data over time is a challenge. Years ago, data were recorded on paper that was pasted directly into a laboratory notebook. The digital age has made maintaining the integrity of data harder. Nowadays, digitized analytical data are often separated from informati...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
[Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4548526/ https://www.ncbi.nlm.nih.gov/pubmed/27134778 http://dx.doi.org/10.6028/jres.115.003 |
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author | Celebi, Ismet Dragoset, Robert A. Olsen, Karen J. Schaefer, Reinhold Kramer, Gary W. |
author_facet | Celebi, Ismet Dragoset, Robert A. Olsen, Karen J. Schaefer, Reinhold Kramer, Gary W. |
author_sort | Celebi, Ismet |
collection | PubMed |
description | Maintaining the integrity of analytical data over time is a challenge. Years ago, data were recorded on paper that was pasted directly into a laboratory notebook. The digital age has made maintaining the integrity of data harder. Nowadays, digitized analytical data are often separated from information about how the sample was collected and prepared for analysis and how the data were acquired. The data are stored on digital media, while the related information about the data may be written in a paper notebook or stored separately in other digital files. Sometimes the connection between this “scientific meta-data” and the analytical data is lost, rendering the spectrum or chromatogram useless. We have been working with ASTM Subcommittee E13.15 on Analytical Data to create the Analytical Information Markup Language or AnIML—a new way to interchange and store spectroscopy and chromatography data based on XML (Extensible Markup Language). XML is a language for describing what data are by enclosing them in computer-useable tags. Recording the units associated with the analytical data and metadata is an essential issue for any data representation scheme that must be addressed by all domain-specific markup languages. As scientific markup languages proliferate, it is very desirable to have a single scheme for handling units to facilitate moving information between different data domains. At NIST, we have been developing a general markup language just for units that we call UnitsML. This presentation will describe how UnitsML is used and how it is being incorporated into AnIML. |
format | Online Article Text |
id | pubmed-4548526 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology |
record_format | MEDLINE/PubMed |
spelling | pubmed-45485262016-04-29 Improving Interoperability by Incorporating UnitsML Into Markup Languages Celebi, Ismet Dragoset, Robert A. Olsen, Karen J. Schaefer, Reinhold Kramer, Gary W. J Res Natl Inst Stand Technol Article Maintaining the integrity of analytical data over time is a challenge. Years ago, data were recorded on paper that was pasted directly into a laboratory notebook. The digital age has made maintaining the integrity of data harder. Nowadays, digitized analytical data are often separated from information about how the sample was collected and prepared for analysis and how the data were acquired. The data are stored on digital media, while the related information about the data may be written in a paper notebook or stored separately in other digital files. Sometimes the connection between this “scientific meta-data” and the analytical data is lost, rendering the spectrum or chromatogram useless. We have been working with ASTM Subcommittee E13.15 on Analytical Data to create the Analytical Information Markup Language or AnIML—a new way to interchange and store spectroscopy and chromatography data based on XML (Extensible Markup Language). XML is a language for describing what data are by enclosing them in computer-useable tags. Recording the units associated with the analytical data and metadata is an essential issue for any data representation scheme that must be addressed by all domain-specific markup languages. As scientific markup languages proliferate, it is very desirable to have a single scheme for handling units to facilitate moving information between different data domains. At NIST, we have been developing a general markup language just for units that we call UnitsML. This presentation will describe how UnitsML is used and how it is being incorporated into AnIML. [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology 2010 2010-02-01 /pmc/articles/PMC4548526/ /pubmed/27134778 http://dx.doi.org/10.6028/jres.115.003 Text en https://creativecommons.org/publicdomain/zero/1.0/ The Journal of Research of the National Institute of Standards and Technology is a publication of the U.S. Government. The papers are in the public domain and are not subject to copyright in the United States. Articles from J Res may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright. |
spellingShingle | Article Celebi, Ismet Dragoset, Robert A. Olsen, Karen J. Schaefer, Reinhold Kramer, Gary W. Improving Interoperability by Incorporating UnitsML Into Markup Languages |
title | Improving Interoperability by Incorporating UnitsML Into Markup Languages |
title_full | Improving Interoperability by Incorporating UnitsML Into Markup Languages |
title_fullStr | Improving Interoperability by Incorporating UnitsML Into Markup Languages |
title_full_unstemmed | Improving Interoperability by Incorporating UnitsML Into Markup Languages |
title_short | Improving Interoperability by Incorporating UnitsML Into Markup Languages |
title_sort | improving interoperability by incorporating unitsml into markup languages |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4548526/ https://www.ncbi.nlm.nih.gov/pubmed/27134778 http://dx.doi.org/10.6028/jres.115.003 |
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