DATUM · Share & monetize data

Real scenarios for sharing and monetizing data.

Sharing and monetizing data is not a theoretical concept. These are the scenarios where organisations like yours are already capturing value — from formalised commercial models to participation in regulated ecosystems.

Real scenarios
6
Documented use cases
Partners
Governed sharing with third parties
Europe
Readiness for CEDS and Data Act
01
Data monetisation models
Problem
There is no formal mechanism to monetise valuable internal data without exposing the corporate core or losing control.
What is shared
High-value data products published under access models with formalised commercial conditions.
What DATUM controls
Access, use, version, duration, commercial conditions and consumption evidence by the buyer.
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02
Publishing certified data products
Problem
Valuable internal data cannot be monetised or shared with third parties in a controlled and scalable way.
What is shared
Certified, versioned internal data products published in a governed external catalogue.
What DATUM controls
Usage conditions, authorised participants, access duration and consumption evidence.
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03
Sharing with partners and suppliers
Problem
Data exchanges with partners are resolved with files, ad hoc APIs or direct access without traceability or formal conditions.
What is shared
Operations, logistics, inventory or sales data published as certified data products.
What DATUM controls
Ownership, usage policy, version, access traceability and revocation capability.
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04
Integrating external data into analytics
Problem
Market data, benchmarks or external sources are integrated without quality validation, lineage or formal usage conditions.
What is shared
External assets certified by their publishers and integrated into the DATUM circuit with full traceability.
What DATUM controls
Origin, version, declared quality, accepted policy and access records for the external asset.
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05
Participating in sectoral ecosystems
Problem
The organisation wants to participate in data consortiums or sectoral initiatives but lacks the necessary governance infrastructure.
What is shared
Domain-specific assets published under ecosystem standards with verified identity and policies.
What DATUM controls
Technical interoperability, federated identity, policies compatible with the ecosystem and participation record.
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06
Preparing for European initiatives
Problem
European regulation (Data Act, Common European Data Spaces) requires governed sharing capabilities that most organisations lack.
What is shared
Data assets prepared to participate in European data spaces under the Eclipse Dataspace Protocol and European interoperability frameworks.
What DATUM controls
Alignment with European standards, verifiable identity, compatible policies and regulation-required traceability.
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The case-based approach

Four differentiators shared by all cases

Each case has a different trigger, but all are governed under the same architecture. What changes is the scenario, not the control model.

Per-case traceability, not generic

Each use case has its own adoption metrics, quality rules and lineage. Traceability is scenario-specific, not a common diluting layer.

Policies adapted to commercial contract

Usage policies reflect the concrete agreement of each relationship: monetization, partner, ecosystem. Policy is the living representation of the contract, not its technical translation.

Federated identity per participant

Each actor entering the scene identifies with verifiable credentials. Identity is preserved from first to last step, with no proxy or opaque jumps.

Adoption metrics per scenario

Each case reports its own usage metrics (active consumers, frequency, evidence generated). The KPI belongs to the case, not the aggregate.

What the 6 share

Each use case has a different story.

All share the same governance architecture.

What changes

Measurable results after activating the first case

Onboarding time per participant

Bringing a new participant into the case (client, partner, ecosystem organization) stops being a project and becomes a governed operation.

Days, not weeks
Assets published in the case

The case catalog grows in a controlled way: every published asset already enters with metadata, policy and owner formalized.

100% assets with sheet
Active rules in the case

Policies governing the case are alive and applied on every access. No PDF rules forgotten; rules are the actual technical control.

Policy applied per asset
Auditable case evidence

The case reports structured evidence ready for commercial, regulatory or internal audit. Case compliance is output, not project.

Traceable registry
Keep exploring

Go deeper into the capability

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Next step

Is any of these scenarios relevant to your organisation?

The governed sharing assessment determines which scenarios you are ready for and what path makes sense.