Data ecosystem mapping
Inventory data sources, actors, rights flows, exchange formats and institutional dependencies across a cultural data ecosystem.
Cultural data · Metadata · Infrastructure · Data Space
Turning cultural data into usable infrastructure
DataMosaik helps governments, institutions, agencies and sector organisations map fragmented data ecosystems, diagnose metadata gaps and design practical routes towards interoperable data exchange through federated data space models.
Arts and culture is increasingly produced, distributed, documented and remunerated through data. When identifiers, metadata and exchange standards break, insight, heritage and income become harder to secure.
What we do
Analytical consulting for cultural data ecosystems.
DataMosaik operates where domain knowledge, data infrastructure and organisational decision-making meet.
Metadata and identifier strategy
Define minimum viable metadata, bridge open and proprietary identifiers and reduce breaks in the data value chain.
Data Space governance
Design federated data exchange principles, steering structures, roles, incentives and trusted-partner criteria.
Insight products
Turn complex data conditions into decision-ready reports, policy briefs, dashboards, maps and implementation roadmaps.
Method
From fragmented terrain to shared action.
The method is deliberately practical: map what exists, diagnose what blocks reuse, and turn findings into implementable pilots.
Map the terrain
Identify datasets, owners, identifiers, metadata fields, access models, legal constraints and organisational dependencies.
Diagnose the gaps
Locate double entry points, identifier breaks, missing metadata, file-based exchanges and weak feedback loops.
Define the minimum
Translate findings into a Minimum Viable Metadata profile, validation logic and decision rules for data quality.
Build pilot pathways
Develop governance, identifier matching, verified exchange and enrichment pilots that can be tested before scaling.
Featured case
DataMosaik1: mapping Danish cultural data praxis.
The DataMosaik1 report maps Danish cultural data sources and examines the state of data practices in the cultural sector. It focuses on metadata, interoperability, cultural heritage, data literacy and governance in the domain of music.
The work identifies structural challenges with inconsistent identifiers, missing bridges between closed and open systems, weak minimum metadata requirements and data exchange that still too often depends on manual file handling.
Get the report (free PDF)16new data sources recommended to the Danish Agency for Digitalisation
MVMdefine a minimum viable metadata profile as a shared reference
ISNIidentity matching as a route to interoperability
APIsdocumented exchange rather than periodic file handovers
Diagnostic frame
Seven gaps that weaken cultural data infrastructure.
Double entry
The same metadata is registered repeatedly across isolated systems.
Identifier breaks
Works, recordings, actors and releases cannot be traced reliably across the chain.
Missing MVM
Actors lack a shared definition of critical minimum metadata.
Files over APIs
Manual exchanges make data late, fragile and difficult to validate.
Weak governance
Data rules, roles and feedback loops are not coordinated systematically.
Lost context
Geographic, temporal and cultural heritage metadata is not preserved consistently.
Missing bridges
Proprietary identifiers are not reliably linked to open standards.
Design principles
Standards before systems.
Governance before scale.
Federated by design
Data does not need to move into a single central database to become useful. Shared rules, APIs and identifiers can allow actors to stay in control while exchanging data safely.
Minimum viable metadata
A shared minimum profile should secure traceability, attribution, settlement and preservation before richer domain-specific fields are added.
Validation at the source
Data quality should be checked when metadata is created, not months later when royalties, documentation or preservation already depend on it.
Insight with accountability
Dashboards and analytics should expose assumptions, gaps and uncertainty rather than present fragmented data as complete truth.
Pilot pathways
Four routes from analysis to implementation.
Governance framework
Steering group, terminology, MVM v1.0 and trusted-partner criteria.
ISNI registration
Identity matching between local IDs and persistent open identifiers.
Verified metadata flow
Intermediaries, API-based validation and automated distribution.
Heritage enrichment
Geographic and temporal context for future cultural memory and discovery.
Contact
Build the next layer of cultural data infrastructure.
Use DataMosaik for early-stage mapping, policy development, data-space pilots, metadata strategy or decision-ready analysis.