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全球生物多样性使用数据基础设施,承认土著和当地知识.

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科学领域:

  • 生物多样性科学是生物多样性的科学.
  • 数据基础设施数据基础设施
  • 土著知识系统土著知识系统

背景情况:

  • 全球生物多样性数据集经常排除或歪曲来自土著人民,地方社区和非洲裔 (IPLCAD) 的知识.
  • 这种排斥导致数据缺口,并使生物多样性治理中的历史不平等继续存在.
  • 需要具备包容性框架,识别和整合多样化的知识系统.

研究的目的:

  • 为全球生物多样性知识提出最低数据和元数据标准,并使用数据基础设施.
  • 在这个基础设施内确保IPLCAD知识的伦理和可追溯的使用.
  • 通过整合祖先和学术科学来促进包容性的生物多样性治理.

主要方法:

  • 与IPLCAD代表共同设计数据和元数据标准.
  • 开发社区归因和知情同意的协议.
  • 建立一个整合多元知识系统的框架.

主要成果:

  • 为IPLCAD知识量身定制的拟议的最低数据和元数据标准.
  • 一个框架,以确保数据可追溯性和伦理使用,尊重社区权利.
  • 一个综合的方法,结合了祖先和学术科学知识.

结论:

  • 实施这些标准可以纠正生物多样性数据的历史不平等.
  • 该倡议通过包容性的生物多样性治理促进全球可持续发展.
  • 共同设计的数据基础设施对于公平有效地管理生物多样性至关重要.