Overview

Participatory Platform

How contributors add, improve, and validate data within Atlas Amazon, supporting a collaborative and evolving knowledge system.

Atlas Amazon is a participatory system. Data is not simply collected — it is contributed, reviewed, and refined through ongoing collaboration. Rather than relying on centralized datasets alone, the platform lets the people and organizations working across the Amazon contribute what they know, correct what is wrong, and build a shared picture of stewardship systems.

This reflects a core premise: knowledge about governance and stewardship is distributed, dynamic, and usually grounded in local context.

Why Participation Matters

Information on areas, governance, and stewardship already exists across the Amazon, but it is spread thin — across national databases, project-level datasets, community knowledge systems, and monitoring frameworks that rarely talk to each other. Each source is incomplete on its own, and together they are difficult to integrate.

Participation is how the Atlas closes those gaps. It brings in locally grounded knowledge, improves completeness and accuracy over time, connects data across scales and systems, and keeps the record current as conditions and governance processes change. In that sense it is not only a way of getting data in; it is the mechanism that makes the system representative.

Ways to Participate

There are four main ways to contribute.

Add Areas

Upload new areas across governance systems, including Indigenous territories, community lands, and protected areas.

Edit Metadata

Improve structured information on governance, designation, and context to strengthen data quality and comparability.

Contribute CASE

Submit CASE assessments for Indigenous territories and community lands, covering governance, stewardship practices, and knowledge systems.

Contribute PAME

Upload PAME assessments for protected areas, documenting management effectiveness, governance, and implementation.

Validation

Every contribution is reviewed before it is published. Validation checks that data is accurate and internally consistent, appropriately sourced, and aligned with the governance and data-sharing protocols that apply to it. Depending on the contribution, that review may involve other contributors, partner organizations, or several rounds of refinement.

Validation is the step that connects participation to data quality and responsible publication. For how it works in the platform, see Validation.

Knowledge Production

Participation here is not only a technical process — it is a form of knowledge co-production. By letting contributors define, describe, and assess stewardship systems in their own terms, the platform makes space for the recognition of diverse governance systems, the visibility of Indigenous and community stewardship, and the integration of multiple knowledge systems. The result is a more inclusive account of conservation across the Amazon than static data collection could produce.

Continuous Improvement

Participation runs as a cycle rather than a one-time submission.

Contribute

Add or improve data within the Atlas

Validate

Review and confirm contributions

Integrate

Connect validated data with other datasets and frameworks

Use

Explore, analyze, and apply insights

Improve

Generate new contributions based on use

Each turn of the cycle feeds the next: using the Atlas surfaces gaps and questions, which prompt new contributions, which make the system more complete.