The plan is organised into six best-practice planning
clusters spanning 18 weeks. Each cluster states its focus, key activities and a
milestone that must be reached before the next cluster begins.
Weeks 1-3
Cluster 1 - Onboarding & Foundations
Settle in, set up the working environment, and agree the detailed plan and success criteria with the academic and industrial supervisors.
Key activities
- Onboarding at Graha International: tooling, data-governance and NDA briefing.
- Familiarisation with Digital Product Passport concepts, data spaces and the circular economy.
- Set up a reproducible environment: version control, experiment tracking and a containerised workspace.
- Refine scope, success criteria and the detailed 18-week work plan with the supervisor.
Milestone, Approved internship work plan and a running, reproducible development environment.
Weeks 4-6
Cluster 2 - Literature Review & Requirements
Build the scientific foundation through a structured literature review and a precise requirements and evaluation specification.
Key activities
- Structured literature review on Digital Product Passports and circular-economy data.
- Survey of DPP regulation, identifier schemes and data-space standards.
- Stakeholder and requirements analysis; definition of the core use cases and KPIs.
- Draft the conceptual approach and the evaluation methodology with metrics and baselines.
Milestone, Literature-review report and an agreed requirements and evaluation plan.
Weeks 7-9
Cluster 3 - Data Engineering & System Architecture
Prepare the data assets and design the interoperable, data-sovereign architecture.
Key activities
- Define the DPP data model: identity, materials, lifecycle events and circularity attributes.
- Map the data model to relevant interoperability standards.
- Design the platform architecture: passport store, data-space connector, API and access layers.
- Specify the verifiable identifier scheme and the data-sharing interfaces.
Milestone, Architecture design document and an interoperable DPP data model.
Weeks 10-13
Cluster 4 - Implementation & Modelling
Implement the DPP platform and the secure data-sharing components.
Key activities
- Implement the passport store and the lifecycle-event ingestion services.
- Build the data-space connector for sovereign, policy-controlled data exchange.
- Implement access control and a verifiable-identifier resolution service.
- Build the passport view that presents lifecycle and circularity data to users.
Milestone, Working DPP-platform prototype covering the core passport-sharing use case.
Weeks 14-16
Cluster 5 - Evaluation, Validation & Hardening
Evaluate, validate and harden the prototype with a focus on interoperability.
Key activities
- Define and run experiments on interoperability, data integrity and access control.
- Validate passport exchange against the agreed standards and use cases.
- Assess robustness and security of the sovereign data-sharing flow.
- Iterate on the data model and the connectors based on the findings.
Milestone, Evaluation report with quantitative results and a validated, hardened prototype.
Weeks 17-18
Cluster 6 - Documentation, Thesis & Final Defence
Consolidate the documentation, draft the thesis material and present the results.
Key activities
- Consolidate code, documentation and reproducibility instructions.
- Write the thesis-ready report covering method, results and limitations.
- Prepare and deliver the final presentation and a live demo.
- Hand over the platform, the data model and the backlog of future work to Graha.
Milestone, Final thesis-ready report, final presentation and a complete handover package.
