在生物多样性中共享和重复使用数据的统一和多元理想
Beckett Sterner1, Steve Elliott1, Edward E Gilbert1
1School of Life Sciences, Arizona State University, 427 E Tyler Mall, Tempe, AZ 85281, USA.
概括
生物多样性数据共享的多元主义理想更适合在全球分享物种观测. 这种方法支持通过数字基础设施进行社区再利用,而不是单一的集中存储库.
科学领域:
- 生物多样性信息学 生物多样性信息学
- 数据科学数据科学数据科学
- 保护生物学 保护生物学
背景情况:
- 全球数十亿种物种观测需要有效的共享和重复使用机制.
- 一个集中的,全球性的存储库,具有普遍的标准化,通常被认为是理想的解决方案.
- 这种中心化的理想面临着实际和理论上的局限性,需要替代的框架.
研究的目的:
- 开发一个新的概念框架,以理解支持生物多样性数据再利用的共享基础设施.
- 探索和评估生物多样性数据共享的统一和多元理想.
- 为社区审议和对数据共享模型的规范性评估提供基础.
主要方法:
- 定义数据聚合是通过数字基础设施提供分类学标准化的信息,以便社区重复使用.
- 开发了一个概念框架,整合了组织模型,监管理想和启发式策略.
- 描述和说明统一和多元主义的理想,分析他们的优势和局限性,基于利益相关者关系.
主要成果:
- 确定了生物多样性数据共享的统一和多元理想的优点和局限性.
- 展示了社区如何使用不同的启发式策略来实现这些理想.
- 突出了与每个理想相关的权力,责任和利益的系统关系.
结论:
- 对于生物多样性数据的聚合,多元主义的理想比统一的理想更适合.
- 多元化模型为管理多样化的生物多样性数据和利益相关者的需求提供了更强大的方法.
- 该框架支持社区更好地讨论优化生物多样性数据共享和再利用.
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