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A global biodiversity use data infrastructure acknowledging indigenous and local knowledge.

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Summary
This summary is machine-generated.

Global biodiversity data must include Indigenous Peoples, Local Communities, and Afro-Descendants’ (IPLCAD) knowledge. Co-designed standards ensure ethical data use and traceability, integrating ancestral and academic sciences for sustainability.

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Area of Science:

  • Biodiversity science
  • Data infrastructure
  • Indigenous knowledge systems

Background:

  • Global biodiversity datasets often exclude or misrepresent knowledge from Indigenous Peoples, Local Communities, and Afro-Descendants (IPLCAD).
  • This exclusion leads to data gaps and perpetuates historical inequities in biodiversity governance.
  • There is a need for inclusive frameworks that recognize and integrate diverse knowledge systems.

Purpose of the Study:

  • To propose minimum data and metadata standards for a global biodiversity knowledge and use data infrastructure.
  • To ensure the ethical and traceable use of IPLCAD knowledge within this infrastructure.
  • To foster inclusive biodiversity governance by integrating ancestral and academic sciences.

Main Methods:

  • Co-designing data and metadata standards with IPLCAD representatives.
  • Developing protocols for community attribution and informed consent.
  • Establishing a framework for integrating diverse knowledge systems.

Main Results:

  • Proposed minimum data and metadata standards tailored for IPLCAD knowledge.
  • A framework for ensuring data traceability and ethical use, respecting community rights.
  • An integrated approach combining ancestral and academic scientific knowledge.

Conclusions:

  • Implementing these standards can rectify historical inequities in biodiversity data.
  • This initiative advances global sustainability through inclusive biodiversity governance.
  • Co-designed data infrastructure is crucial for equitable and effective biodiversity management.