分析古生物学中的挑战和方向
Erin M Dillon1, Emma M Dunne2, Tom M Womack3
1Department of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, California 93106, U.S.A.; Smithsonian Tropical Research Institute, Balboa, Republic of Panama.
概括
分析古生物学已经以新的数据和工具进步,但在数据访问和最佳实践方面面临挑战. 解决这些问题需要跨学科的合作和系统变化,以实现公平的研究共享.
科学领域:
- 古生物学的古生物学
- 生物多样性科学 生物多样性科学
- 数据科学数据科学数据科学
背景情况:
- 在过去的50年里,分析古生物学因数据和分析工具的增加而显著扩大.
- 尽管取得了进展,但该领域面临着与公平的数据访问和化石记录标准化分析实践相关的持续障碍.
研究的目的:
- 从职业生涯早期的研究人员的角度调查分析古生物学中的四个关键挑战.
- 讨论当前的努力,持续的障碍,以及解决这些挑战的工具.
- 鼓励跨学科的对话和系统的变化,在古生物学研究和数据共享.
主要方法:
- 从职业生涯早期的角度对挑战的调查.
- 讨论最近的努力和持续存在的障碍.
- 识别推进分析古生物学的工具.
主要成果:
- 确定了四个主要挑战:化石记录解释中的偏见,化石和现代生物多样性数据的整合,数据科学技能的发展以及数据可访问性和公平性的增强.
- 通过协作,跨学科和开放科学倡议取得进展,特别是早期职业研究人员.
- 持续存在的障碍仍然存在,需要继续努力和系统性重新评估.
结论:
- 应对所发现的挑战需要协作,跨学科的解决方案和重新评估古生物学研究如何进行和共享.
- 公平的数据访问和标准化的最佳实践对于分析古生物学的未来至关重要.
- 需要进行系统性变革,以促进更具包容性和有效的研究环境.
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