不当的数据实践侵蚀了全球生态数据库的质量,阻碍了生态研究的进展
Steven P Augustine1,2, Isaac Bailey-Marren3, Katherine T Charton4
1Department of Botany, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Global change biology
|January 26, 2024
概括
在TRY植物特征数据库中的大多数特定叶面积 (SLA) 数据由于适用性和可追溯性差,无法使用. 处理数据质量对于可靠的生态研究至关重要.
科学领域:
- 生态生态学 生态生态学
- 科学中的大数据大数据
- 植物特征数据库 植物特征数据库
背景情况:
- 科学界面临着大数据的挑战,因为数据管理实践落后于数据收集和分析.
- 全球植物特征数据库对于生态研究至关重要,但需要强大的数据质量标准.
研究的目的:
- 评估TRY植物特征数据库中特定叶面积 (SLA) 数据的适用性和可追溯性.
- 量化可用的SLA数据的比例,并确定常见的数据质量问题.
主要方法:
- 严格评估 TRY 数据库中的 SLA 数据.
- 评估数据的适用性 (原始,代表性,逻辑性,可比性) 和可追溯性 (发表,引用,一致性).
- 使用数据百分比与标准数据清理协议的比较.
主要成果:
- 在TRY中,超过75%的SLA数据缺乏适用性或可追溯性.
- 只有22.9%的原始SLA数据被认为是可用的,远低于标准清洁的64.9%的典型值.
- 可用的数据往往与原始数据不同,可能会改变生态分析的解释.
结论:
- 对于SLA数据,TRY数据库中存在重大数据质量问题 (适用性和可追溯性).
- 这些问题可能会扩展到其他植物特征和全球生态数据库.
- 为数据上传者和策展人提供建议,以提高生态研究中的数据质量和完整性.
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