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Effective taxonomies for database management

机译:数据库管理的有效分类法

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摘要

The development of electronic databases allows for the creation of extremely large data sets of safety-related data. Without adequate taxonomies to categorise and order these data, safety managers run the risk of being swamped ('death by data'). In order to function effectively, taxonomies must enable easy and effective retrieval of data. It is generally agreed in the literature that this implies that taxonomic categories within any taxonomy should be mutually exclusive and exhaustive (MEE). Databases should pass tests of 'inter-rater reliability': in other words, the same event should be classified in the same way by different people. This paper shows the result of an inter-rater reliability trial on an existing taxonomy. The results of this trial indicated that the taxonomy was not functioning in an optimal manner and that the main reason for this was that the 'codes' in the taxonomy were not MEE. In conclusion the paper argues that effective taxonomy building will lead to improved reliability in input and retrieval.
机译:电子数据库的开发允许创建与安全相关的数据的超大型数据集。如果没有足够的分类法来对这些数据进行分类和排序,安全管理人员就有被淹没的风险(“数据死亡”)。为了有效发挥作用,分类法必须能够轻松有效地检索数据。文献中普遍同意,这意味着任何分类法中的分类法类别应互斥且穷举(MEE)。数据库应通过“评估者间可靠性”的测试:换句话说,同一事件应该由不同的人以相同的方式进行分类。本文显示了对现有分类法进行评估者间可靠性试验的结果。该试验的结果表明,该分类法不能以最佳方式运行,其主要原因是该分类法中的“代码”不是MEE。总之,本文认为有效的分类法构建将提高输入和检索的可靠性。

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