A specialist's audit of aggregated occurrence records: An 'aggregator's' perspective
A specialist's audit of aggregated occurrence records: An 'aggregator's' perspective
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DOI：
10.3897/zookeys.305.5438
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发表时间：
2013-01-01
期刊：
影响因子：
1.3
通讯作者：
La Salle, John
中科院分区：
文献类型：
--
作者：
Belbin, Lee;Daly, Joanne;La Salle, John
ZooKeys最近的一篇论文(Mesibov 2013：http://www.pensoft.net/journal_home_page.php?journal_id=1&page=article&SESID=df7bcb35b02603283dcb83ee0e0af0c9&type=show&article_id=5111))强调了聚合数据集中的数据质量问题，但没有提供解决这些问题的现实方法。本文提供了一个聚合器的视角，包括整个社区可以帮助解决数据质量问题的方法。澳大利亚生物地图集(ALA)等国家节点(国家聚集器)的建立整合和暴露了各种各样的生物观测以及许多相关问题。Mesibov(2013)的许多令人钦佩的工作都是通过公开数据来实现的。数据质量是GBIF、国家节点和其他聚合器的最高优先事项之一，依赖于自动方法和社区专家来检测和纠正数据问题。然而，并不是所有的问题都能被自动检测或纠正，因此需要社区援助来帮助提高暴露的生物数据的质量。我们确实需要改进基础设施和相关流程，以便更容易地识别数据问题并记录所有更改，以确保永久和公开地提供完整记录。
A recent ZooKeys' paper (Mesibov 2013: http://www.pensoft.net/journal_home_page.php?journal_id=1 & page=article&SESID=df7bcb35b02603283dcb83ee0e0af0c9&type=show&article_id=5111) has highlighted data quality issues in aggregated data sets, but did not provide a realistic way to address these issues. This paper provides an aggregator's perspective including ways that the whole community can help to address data quality issues. The establishment of GBIF and national nodes (national aggregators) such as the Atlas of Living Australia (ALA) have integrated and exposed a huge diversity of biological observations along with many associated issues. Much of the admirable work by Mesibov (2013) was enabled by having the data exposed.Data quality, one of the highest priorities for GBIF, the national nodes and other aggregators, depends on both automatic methods and community experts to detect and correct data issues. Not all issues can however be automatically detected or corrected, so community assistance is needed to help improve the quality of exposed biological data. We do need to improve the infrastructure and associated processes to more easily identify data issues and document all changes to ensure a full record is permanently and publicly available.