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Improving Interoperability by Incorporating UnitsML Into Markup Languages

机译:通过将UnitML集成到标记语言中来提高互操作性

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摘要

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.
机译:随着时间的推移保持分析数据的完整性是一个挑战。几年前,数据记录在直接粘贴到实验室笔记本上的纸上。数字时代使维护数据完整性变得更加困难。如今,数字化分析数据经常与关于如何收集和准备进行分析以及如何获取数据的信息分开。数据存储在数字媒体上,而有关数据的相关信息可以写在纸质笔记本中,也可以分别存储在其他数字文件中。有时,这种“科学元数据”与分析数据之间的联系会丢失,从而使光谱或色谱图无用。我们一直与ASTM E13.15小组委员会合作处理分析数据,以创建分析信息标记语言或AnIML,这是一种基于XML(可扩展标记语言)交换和存储光谱和色谱数据的新方法。 XML是一种通过将数据封装在计算机可用标签中来描述数据的语言。对于必须由所有特定于域的标记语言解决的任何数据表示方案,记录与分析数据和元数据关联的单位是一个基本问题。随着科学标记语言的激增,非常需要一种用于处理单元的方案,以促进在不同数据域之间移动信息。在NIST,我们一直在为仅称为UnitsML的单元开发通用标记语言。本演示将描述如何使用UnitsML以及如何将其合并到AnIML中。

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