从多个来源获取生物多样性数据:使二次数据标准化和可访问
Nubia Marques1, Carla Danielle de Melo Soares1, Daniel de Melo Casali1
1Vale Institute of Technology, Belém, Brazil Vale Institute of Technology Belém Brazil.
Biodiversity data journal
|September 30, 2024
概括
本研究提出了一个框架,使用FAIR原则和达尔文核心模型来改善生物多样性数据的质量和可访问性. 标准化数据增强了宏观生态建模,生物多样性管理和保护工作.
科学领域:
- 生物多样性科学是生物多样性的科学.
- 数据科学是数据科学.
- 生态生态学 生态生态学
背景情况:
- 生物多样性数据 (物种发生率,丰度) 对科学假设至关重要,但往往缺乏FAIR (可查找,可访问,可互操作,可重复使用) 原则.
- 研究数据集经常面临数据质量,准确性和可用性的挑战,阻碍了科学进步.
- 由于数据科学和分析的进步,21世纪要求聚合,标准化和共享生物多样性数据.
研究的目的:
- 提出一个改进和使二次生物多样性数据符合FAIR标准的框架.
- 提高生物多样性数据的可用性和可用性,用于宏观生态建模和其他研究.
- 为了促进数据策划和验证多种类型的发生和丰度数据.
主要方法:
- 使用达尔文核心基础模型进行数据标准化.
- 将框架应用于与亚马逊东部接壤的生态区域的河口生态系统的生物多样性数据.
- 专注于改进与物种发生和丰度相关的数据.
主要成果:
- 制定了一个框架,以改善生物多样性数据质量和遵守FAIR原则.
- 在研究区域内对多种种类型的标准化和验证的发生和丰度数据.
- 展示了一种提高科学研究数据可用性的方法.
结论:
- 标准化的公共数据库对于推动科学进步具有重要意义.
- 精心策划和可访问的生物多样性数据对于有效的生物多样性管理和保护至关重要.
- 拟议的框架有助于使生物多样性数据更加易于查找,可访问,可互操作和可重复使用.
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