25,000+ mining assets
Search mines, development projects, prospects, occurrences and other mining-related assets across a standardised global dataset.
Screen 25,000+ mines, development projects, prospects and other mineral assets against a consistent set of location-based risk factors.
Global Mining Dataset gives mining corporate development and strategy teams a faster way to move from a broad universe of opportunities to a defensible shortlist for deeper review.Instead of assembling asset data, GIS layers and screening assumptions separately for every opportunity, teams can search, screen and compare assets across water, infrastructure, jurisdiction and other location-based constraints in one platform.
The problem
The first stage of evaluating a mining opportunity should be relatively simple: understand the asset, identify obvious constraints and decide whether it warrants deeper investigation.
In practice, much of the work happens before the analysis can even begin.
Teams often need to:
This creates a bottleneck at exactly the point where teams should be screening the widest range of opportunities.
Global Mining Dataset brings the asset universe and the first layer of location-based analysis together.
Each asset is connected to a common set of screening metrics, allowing teams to apply the same assumptions across projects, commodities and jurisdictions.
Instead of rebuilding the analysis for every new opportunity, teams can start with a pre-computed screening framework and focus their time on interpreting the results.
Search mines, development projects, prospects, occurrences and other mining-related assets across a standardised global dataset.
Apply the same water, infrastructure, jurisdiction and location-based metrics to every asset.
Move screening results into spreadsheets, investment papers and downstream diligence processes without rebuilding the dataset manually.
Enterprise teams can analyse confidential acquisition targets or internal asset locations against the same screening framework.
Early-stage screening is designed to identify constraints that warrant investigation before significant diligence resources are committed.
Global Mining Dataset currently focuses on high-signal location factors that can materially affect project development.
Understand the water context surrounding each asset using basin-level indicators.
Screen for:
This provides an early indication of where water availability may require more detailed technical or environmental investigation.

Understand how isolated or connected a mining asset is.
Review proximity and surrounding context for:
Quickly distinguish assets with fundamentally different development contexts.

Compare the institutional and political environment surrounding mining opportunities using a consistent framework.
Jurisdiction screening includes indicators covering areas such as:
This allows teams to compare jurisdiction exposure using the same methodology rather than relying on different assumptions for each country.

Identify additional location characteristics that may warrant earlier investigation.
Depending on the available evidence, this can include:
Surface issues early enough to influence where diligence effort is spent.

Global Mining Dataset is designed around the early stages of the corporate development funnel.
Step 1
Define an initial asset universe using commodity, geography, project status and other available asset fields.
For example, a strategy team could start with all known copper development projects within a target set of jurisdictions.
Step 2
Apply a consistent set of location-based indicators across the entire asset universe.
Instead of conducting separate research for each project, every asset is evaluated against the same framework.
Step 3
Identify differences across water, infrastructure, jurisdiction and other screening dimensions.
This makes it easier to understand why two apparently similar mining projects may have very different development contexts.
Step 4
Reduce the broader opportunity set to the projects that warrant deeper commercial, technical or financial investigation.
Step 5
Export the results and use them as an input into the team's existing evaluation process.
The platform can support questions such as:
Build a longlist and compare projects across infrastructure, water and jurisdiction indicators before allocating further research.
Apply the same first-pass screen across every project rather than reviewing each opportunity independently.
Screen private locations using the same methodology applied to the wider global asset universe.
Compare road, rail, port, generation and transmission context across multiple projects simultaneously.
Compare present and future water-context indicators consistently across the opportunity set.
The platform combines mines, development projects, prospects, occurrences and other mining-related assets from multiple underlying sources.
Rather than presenting each source independently, Global Mining Dataset standardises records into a common asset structure that can be searched and screened consistently.
Where available, records retain links to underlying source evidence so users can understand where the asset information originated.
Mines, development projects, prospects, occurrences and other mining-related locations.
Screen asset universes across major mined commodities and critical minerals.
Compare assets across regions and jurisdictions within the same platform.
Each usable asset location can be connected to the same above-ground risk screening framework.
For more detail, review the Asset Universe Methodology and Mining Data Sources documentation.
Corporate development teams should be able to investigate a new mining opportunity without rebuilding the underlying screening analysis each time.
Global Mining Dataset provides a reusable screening layer across the global mining asset universe, helping teams:
The objective is simple: make the first stage of mining asset evaluation faster, more consistent and easier to repeat.
See how Global Mining Dataset can support corporate development, strategy and portfolio screening across your commodities and regions of interest.