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首页> 外文期刊>International Journal of Thermophysics >The Use of Database Influence Factors to Maintain Currency in an Evaluated Chemical Database
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The Use of Database Influence Factors to Maintain Currency in an Evaluated Chemical Database

机译:使用数据库影响因素维护评估化学品数据库中的货币

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摘要

Maintaining currency of thermophysical property values in a chemical database with the rapid pace of published new experimental data is particularly difficult for evaluated databases. Evaluated databases that provide recommended values for each of the properties require labor intensive evaluation of not only the newly published property values, but also all related property values stored in the database. One possible solution to this problem is the establishment of a triage system to evaluate the potential influence of new data on recommended property values. Such a priority assignment system for the DIPPR®801 Pure Chemical Database has been developed. Evaluation of the potential impact of new data on the recommended values is done through a correlation for the Influence Factor (IF) that includes weighting factors for the type of property, the experimental methodology, the quality of the data, the quantity of data upon which the current recommendation is based, and the significance of the potential change. Database IFs help prioritize review work on the DIPPR®801 database and thereby contribute to its quality and currency.
机译:对于已评估的数据库而言,以已发布的新实验数据的快速步伐保持化学数据库中热物理性质值的流通特别困难。为每个属性提供推荐值的评估数据库不仅需要对新发布的属性值进行劳动密集型评估,而且还需要对数据库中存储的所有相关属性值进行劳动密集型评估。解决此问题的一种可能方法是建立分类系统,以评估新数据对推荐属性值的潜在影响。已经开发了用于DIPPR ® 801纯化学品数据库的优先级分配系统。通过影响因子(IF)的相关性对新数据对建议值的潜在影响进行评估,其中包括属性类型,实验方法,数据质量,数据量的权重因子当前的建议是根据的,以及潜在变化的意义。数据库IF有助于对DIPPR ® 801数据库的审查工作进行优先排序,从而有助于其质量和流通性。

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