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Platform Capabilities

Forest Stack offers a unified environment where users can explore, contribute, and apply three core asset types Datasets, Models, and Use Cases to drive data-driven governance, research, and innovation. This section provides an overview of how the platform enables seamless discovery, efficient asset management, and the practical application of Models and data resources.


Discovering Platform Assets

Users can browse comprehensive listings of Datasets, Models, and Use Cases through intuitive interfaces equipped with:

  • Search bars
  • Sorting tools
  • Advanced filter panels
  • Detailed metadata previews

These tools help users quickly identify relevant resources based on domain, organisation type, permissions, file formats, industries, update timelines, and more.


Contributing Assets

Forest Stack streamlines the upload and publication workflows for Providers and Organisation Managers. Each asset type follows a structured contribution process that includes:

  • Entering metadata
  • Uploading files or providing links
  • Linking related assets
  • Submitting for approval

This standardised workflow promotes consistency, quality, and accountability across all published content.


Accessing & Downloading Assets

Downloading assets is designed to be straightforward:

  • Open assets are immediately accessible to all registered users.
  • Restricted assets require approval before download, ensuring responsible and compliant data access.

Use Cases: Applying Data & Models

Use Cases showcase real-world applications, illustrating how Forest Stack’s datasets and models can be combined to address practical challenges. These examples help users:

  • Understand potential applications
  • Explore new ideas

A Complete Ecosystem

Together, these capabilities make Forest Stack a complete ecosystem for data discovery, model deployment, and AI-driven problem-solving across diverse domains. The pages that follow explore each capability in detail—helping users make the most of the platform’s resources.