The scope of this document is to provide the procedure to be adopted by the project partners and subcontractors to produce, collect and process the data from the IRIS demonstration activities. The adopted procedure follows the guidelines provided by the European Commission in the document Guidelines on FAIR Data Management in Horizon 2020.

This document is based on the Horizon 2020 FAIR Data Management Plan (DMP) template (Version: 26 July 2016) [1], which provides a set of questions that the partners should answer. Furthermore, the Horizon 2020 template from DMP online [2] is utilized to expand the questions and provide more detailed explanations. This fourth report on DMP, submitted at M48 (Autumn 2021) of the project, describes a plan for data production, collection and processing, and the first input from the different lighthouse cities. It will be continuously updated until the end of the project, as part of work package 9, WP9 Monitoring and evaluation, activities. Specifically, DMP will be updated again in M60 (D9.11: Fourth and final update on the Data management plan).

The development of the DMP is part of the work undertaken in T9.2 Defining the data model and the data management plan for performance and impact measurement (M4-M60). Since the DMP development started in M4 (spring of 2018) of the project, this third report of the DMP provides templates for data reporting and emphasises on the interactions of task 9.2, T9.2 Defining the data model and the data management plan for performance and impact measurement, with other work packages.

An important part of this document is the data management template (DMP template). This template is supposed to be used by all partners who produce or handle datasets within the IRIS project. For example, the partners responsible for the implementation of the measures in the Lighthouse cities. By making use of this template, it is ensured that the project research data will be 'FAIR', that is findable, accessible, interoperable and re-usable. This is achieved by:

• Making data Findable, including provisions for metadata
• Making data openly Accessible
• Making data Interoperable
• Increase data Re-use (through clarifying licences)

The template is accompanied by a chapter which describes all topics that are required to be filled in. Further on, 3 DMP examples are added to illustrate what is expected, in order to facilitate the task of providing the data.

Besides the Ethical aspects as defined in the DMP template for all ‘sub’-projects, a separated chapter is written on these aspects on IRIS level.

The aggregation of data within the IRIS project has started after M30. Which means that data was generated within several measures. For this reason, the template as presented in D9.9 could be filled in as far as possible for 27 datasets. The resulting information about these datasets can be found in the DMP Excel sheet on EMDESK and as tables in Appendix 0.