DocumentationHow to use Global Mining Dataset

How to use Global Mining Dataset

While every organisation has it's own investment or project evaluation process, most users follow a similar process.

Last updated 2026-07-24

How to use Global Mining Dataset

Global Mining Dataset is designed for pre-due-dilligence screening: the stage of asset evaluation where you need to baseline a large number of opportunities quickly, identify potential constraints for a site, and decide where more detailed investigaiton is justified.

It is particularly useful when the alternative would involve manually combining asset lists, GIS datasets, maps and spreadsheets to build an initial view.

The platform brings these inputs into a consistent screening environment so that the same questions can be asked across individual assets, portfolios or entire markets.

What is Global Mining Dataset best used for?

Screening a large asset universe

Starty witha. broad set of mining assets and progressibely narrow it based on the characteristics that matter to your investment or development strategy.

For example you might identify copper projects at a particular development stage and then screen them for water stress, infrastructure access, and jurisdictional risk.

This allows hundreds or thousands of assets to be assesse using the same criteria before committing time to an individual project analysis.

Comparing assets consistently

Early-stage asset comparison can become inconsistent when information is collected from different sources or analysed independently.

Global Mining Dataset applies the same underlying datasets and screening methodology across the asset universe, making it easier to compare projects on a like-for-like basis.

This is particularly useful when building longlists, comparing acquisition opportunities, portfolio reviews, and comparative research.

Identifying potential constraints early

Location can introduce constraints that are not immediately apparent from headline project information.

The platform helps surface factors such as:

  • Water availability and water stress
  • Distance to transportation and power infrastructure
  • Nearby population and settlements
  • Jurisdictional conditions
  • Gaps or uncertainty in available asset data

These indicators can help identify where further investigation may be required before progressing an opportunity.

Investigating individual assets

Global Mining Dataset can also be used to build an initial understanding of a specific mineral asset.

Asset reports bring together the underlying asset record, screening metrics and surrounding geospatial context in one place.

This provides a consistent starting point for deeper research, and helps identify the quesitons that should be investigated in subsequent due diligence.

Screening your own asset univese

Enterprise users can apply the same screening framework to private or internally maintained asset databases.

This allows propietry asset lists, internal opportuntiies or acquisition targets to be evaluated alongside the broader Global Mining Dataset using a consistent methodology.

Where the platform fits

Global Mining Daaset is primarily an early-stage analysis and screening tool.

It is most useful when you need to move quickly from a broad question of asset universe towards a more focused set of findinggs, assets or areas for further investigation.

Depending on the workflow, the output might be a shortlist of assets, a comparison of projects, an initial view of a market, or a structured dataset for further analysis.

What the platform is not designed to do

Global Mining Dataset dows not replace asset-specific technical, environmental, legal or commercial due diligence.

Many screening metrics are derived from global datasets designed to provide consistent indicators across a large number of assets. Project-specific information and local analysis may provide additional context that cannot be captured through global screening along.

The platform is therefore best used as a starting point for analysis: helping users find relvant assets, indentify potential constraints, and determine where deeper research should be focused