Chapter 7: How to Proceed by Implementation Stage

This chapter organizes the implementation stages for users actually launching dataspace-related businesses into three phases (Table 10) :

1. Evaluation

2. Proof of Concept

3. Rollout (GTM, Go-to-Market)

These stages do not progress in a strictly linear fashion; they are advanced iteratively in light of PoC results and changes in the external environment.

Table 10 Implementation Stages of Open Dataspaces

Stage	Role	Key Activities	Primary Outputs
Evaluation Stage	Clarifying entry decision and scope	Challenge identification, entry pattern selection, and PoC scope definition based on the process in Chapter 5	Business plan hypotheses, minimum viable configuration (MVP) definition
Proof of Concept Stage	Confirming feasibility with minimum configuration	Building a PoC environment using managed services or SDKs; validating technical, business, and operational feasibility	Feasibility report (technical, business, operational)
Rollout Stage (GTM)	Full implementation and sustained operation	Migration to production environment, finalization of SLAs and pricing, continuous KPI management	Production launch, GTM strategy execution

7.1 Evaluation Stage: Clarifying the Entry Decision and Build Scope

Building on the entry pattern organized in Chapter 5, this phase gives concrete form to "what will and will not be built" as the construction scope. Table 11 presents the considerations to be addressed in this phase.

Table 11 Considerations in the Evaluation Stage

Perspective	Key Considerations
Finalizing the entry pattern	Treat the entry pattern selected in Chapter 5 (data provider, consumer, or both) as a given premise
Scope of building blocks to take on	Determine which functional areas of DAD, OSI, and IUC to enter from; decide the extent of managed service utilization
Separating mandatory areas from differentiated areas	Distinguish areas governed by protocol (where interoperability is mandatory) from areas left to the organization's own discretion
Boundary conditions with other parties	Clarify the delineation of responsibilities with data users, data providers, and managed service providers

7.2 Proof of Concept Stage: Confirming Feasibility with Minimum Configuration

Confirm "whether the technical, business, and operational elements are viable" using a minimum viable configuration (MVP). The objective is not to achieve a high level of completeness, but to gain confidence that the system — including operations — can function end-to-end, with a design that structurally separates areas requiring external alignment from areas left to the organization's own discretion. Table 12 presents the considerations to be addressed in this phase.

Table 12 Considerations in the PoC Stage

Perspective	What to Confirm
Technical feasibility	Can the minimum configuration using managed services or SDKs operate standalone? Is interoperability ensured, and are optional extensions structurally separated?
Business feasibility	Can the intended value proposition be clearly explained? Can the organization concisely articulate to whom it is valuable, what it delivers, and why?
Operational feasibility	Can the operational burden of the minimum configuration be understood? Is there a clear outlook for configuration management, log collection, and update response?

7.3 Rollout Stage (GTM): Transitioning to Full Implementation and Sustained Operation

Migrate to the production environment on the basis of the feasibility confirmed in the PoC stage. What matters here is not the success of a one-off PoC, but whether the system has the structural resilience to withstand updates to standard specifications, changes in operational requirements, and the expansion of integration partners. Table 13 presents the considerations to be addressed in this phase.

Table 13 Considerations in the Rollout Stage

Perspective	Key Considerations
Keeping pace with specification updates	Define a policy for responding to ODP updates; confirm the update-tracking capability of managed services
Responding to operational requirements	Address changes in participation conditions, credentials, and audit requirements; clarify the SLA scope and the organization's own scope of responsibility
Preparing for horizontal expansion	Organize in advance the expansion scenarios for multiple Open Dataspaces and multiple integration partners
Ongoing business evaluation	Define Save Money / Make Money KPIs and continue validating the value hypotheses formed during the PoV in the production environment

7.4 Implementation Checklist (Decision Support for Adoption Readiness)

Table 14 presents an implementation checklist to support the adoption readiness decision.

Table 14 Implementation Checklist

Checklist Item	Sample Confirmation Question
Clarification of purpose and challenges	Has a use case been identified, and is the challenge to be solved articulated in concrete terms?
Determination of entry pattern	Has a decision been made on whether to enter as a data provider, data consumer, or both?
Selection of implementation approach	Has a decision been made on whether to proceed as distributed, federated, or hybrid?
PoC	Has a PoC environment been built and operationally confirmed using an SDK or managed service?
PoV	Has the organization formed a value hypothesis with a sense of the numbers? (Preliminary estimates for Save Money / Make Money)
Agreements and contracts	Have data terms of use, participation conditions, and responsibility boundaries been established or agreed upon?
Trust design	Have authentication scheme selections (self-declaration, mutual authentication, third-party certification) and provenance management policies been determined?
Operational structure	Has an internal structure (responsible staff, budget, update response process) been established in preparation for production launch?