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ABSTRACT:
The development of electronic databases allows for
the creation of extremely large datasets of safety
related data. However, without adequate taxonomies
to categorise and order this 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 taxonomies
should be Mutually Exclusive and Exhaustive (MEE). Moreover, databases should pass tests of ‘interrater
reliability’: in other words, the same event
should be classified in the same way by different
people. This paper will argue that these two goals are
linked and that effective taxonomy building will lead
to improved reliability in input and retrieval.
any taxonomy for any form of database.
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STATISTICS
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