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Data Management Plan – Version II (D1.6)

Methodology

Training

Intervention

Tool

Data

Study

Use case

Vangelis Angelakis, Linköping University, with contributions from all ELABORATOR Lighthouse cities

Overview

Deliverable D1.6 replaces the first Data Management Plan and updates it using the data protocol, evaluation plan, feasibility work and early intervention definitions developed elsewhere in the project. It formalises the project's data language, identifies responsibilities within Lighthouse City teams and adds a sample consent form for workshops and interviews. The plan also links data management more directly to the forthcoming intervention data platform and Knowledge Hub. For readers, it shows how a living Data Management Plan can evolve as a project moves from early definition towards implementation and evaluation.


Highlights

• Updated governance: Roles and responsibilities for handling data, consent and pseudonymisation are connected to named people within Lighthouse Pilot organisations.

• Consent in practice: A reusable consent form template is included for activities such as interviews, focus groups and workshops, with clear information on data use and participants' rights.

• Data protection by design: The plan applies data minimisation, transparent processing, secure local storage, encryption and access controls. Identity data is not included in questionnaires or shared between partners.

• Three data classes retained: The updated plan continues to distinguish engagement data, intervention-site data and evaluation data, while preparing for pre-evaluation data collection.

• Findability and access: Publications require standard metadata and persistent identifiers. Public deliverables and relevant intervention data should be deposited through project repositories and the Knowledge Hub where possible.

• Interoperability and reuse: The future data platform is expected to use documented APIs and established formats such as CSV, JSON, SHP, GeoPackage, WMS, WFS and XML. Evaluation data is planned to remain available to researchers and practitioners for five years after the project ends.


Conclusion

D1.6 turns the initial principles into a more operational basis for data collection during implementation and evaluation. It connects privacy, consent, Open Access and technical interoperability with the actual structures being developed in WP3, WP4 and WP8. The report notes that concrete datasets and KPIs were still being defined, so later Data Management Plan versions are expected to provide further revisions rather than final implementation results.

Full materials

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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or CINEA. Neither the European Union nor the granting authority can be held responsible for them.

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ELABORATOR is part of the CIVITAS Initiative and contributes to the goals of the EU Mission: Climate-Neutral and Smart Cities

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UKRI supports UK participants with grant numbers 10078745 (iRAP ) and 10069203 (UBRIS)

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