Data Quality in Zooarchaeological Faunal Identification
Data Quality in Zooarchaeological Faunal Identification
复制标题
动物考古动物区系鉴定中的数据质量
DOI：
10.1007/s10816-012-9161-4
复制
发表时间：
2013
影响因子：
2.3
通讯作者：
Steve Wolverton
中科院分区：
文献类型：
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作者：
Steve Wolverton
动物考古学中没有报告动物鉴定的标准。动物考古学家对所报告的结论无效的指控持开放态度。其他科学通过使用质量保证（包括质量控制（QC）和评估（QA））来应对此类问题。 QC 是实验室实践过程中采用的程序标准。 Driver 于 1992 年发布了一项很少被引用的标准。QA 重点关注动物识别标准，并且在动物考古学中变得越来越常见。如果要接受鉴定，质量控制和质量保证必须成为动物考古学的组成部分。赌注很高，因为古生物学数据集现在被用来研究保护科学中的问题。
There is no standard for reporting faunal identifications in zooarchaeology. Zooarchaeologists are open to accusations that reported conclusions are invalid. Other sciences counter such problems through use of quality assurance, consisting of quality control (QC), and assessment (QA). QC is a standard for procedures adopted during laboratory practice. A rarely cited standard was published by Driver in 1992. QA focuses on criteria for faunal identification and is becoming more common in zooarchaeology. QC and QA must be integral parts of zooarchaeology if identifications are to be accepted. The stakes are high because paleobiological datasets are now used to study problems in conservation science.