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A specialist’s audit of aggregated occurrence records: An ‘aggregator’s’ perspective

机译:专家对汇总发生记录的审核:汇总者的观点

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摘要

A recent ZooKeys’ paper (: ) 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 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.
机译:ZooKeys的最新论文(:)突出显示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。本文提供了聚合者的观点,包括整个社区可以帮助解决数据质量问题的方式。 GBIF的建立以及诸如澳大利亚生活地图集(ALA)之类的国家节点(国家聚集者)已经整合并暴露了巨大的生物观测多样性以及许多相关问题。数据的公开是GBIF,国家节点和其他聚合器的最高优先事项之一,它的数据质量是GBIF的最高优先事项之一,它依赖自动方法和社区专家来检测和纠正数据问题。但是,并非所有问题都可以自动检测或纠正,因此需要社区协助以帮助提高暴露的生物数据的质量。我们确实需要改善基础架构和相关流程,以更轻松地识别数据问题并记录所有更改,以确保完整记录永久且公开可用。

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