How ready is your organisation for industrial data spaces?
Assess data storage, external data, standards, willingness to share and technical infrastructure. Receive your classification and concrete next steps by email.
Data-space readiness is more than a technical question.
Sustainable data spaces emerge when data, standards, collaboration and infrastructure fit the specific use case.
Data is not machine-readable
Relevant information exists, but cannot be reused reliably by systems.
Exchange remains manual
Media breaks, missing standards and unclear approvals limit the value of data exchange.
The next step is unclear
Without a shared assessment, technology, governance or pilots are prioritised too early.
The five characteristics of DIN SPEC 91513
Each characteristic is scored from 1 to 5. Together they provide an initial maturity level for participating in data spaces.
Data storage
To what extent is relevant data machine-readable and reusable?
External data need and value
How important is external data to the process and value creation?
Data standards
How consistent are syntax and semantics, and are standards co-designed?
Willingness to share
To what extent is relevant proprietary data shared with partners?
Technical infrastructure
How well do systems support collection, digitisation and data exchange?
Three steps to a sound orientation
The check connects a DIN-aligned classification with your specific data-space initiative.
Scope the use case
Define the process, current situation, target horizon and main obstacles.
Assess five characteristics
For each characteristic, choose the statement closest to today's situation.
Receive the report
Get the score, level, spread, priority actions and Hahn PRO assessment by email.
DIN SPEC 91513 Maturity Check
Assess one specific process or use case. The examples provide orientation and do not replace an individual review.
Your maturity report is on its way.
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What your personal report contains
A transparent self-assessment without certification or conformity claims.
Score and maturity level
A total score from 5 to 25 and classification into one of five levels.
Strengths and spread
All individual scores and a clear warning when an individual review is required.
Priority next steps
Up to two fields of action and a clearly separated Hahn PRO recommendation.
Would you like to translate your result into a concrete data-space use case?
As a co-author of DIN SPEC 91513, we combine the methodological assessment with experience from industrial data-space projects.