Deliverable D9.2: DMP and Open Data Use Plan

The Data Management Plan (DMP) summarizes the way that the data collected or generated within the project will be organized, stored, and shared.The first audience to which this report is addressed is the internal partnership. EOLIAN partnership is made of 10 partners. The DMP, since the early phase of the project, will support partners in considering all the relevant aspects of data management, by establishing consistent practices among partners to increase the efficiency and robustness of data handling along the project. The second audience of the DMP is the community of researchers, policy makers, stakeholders, interested in re-using datasets produced by EOLIAN.This document is the initial version of the DMP to be delivered at Month 6. The complex structure of the project, the heterogeneity of the experimentation sites, and the workplan will require updates of the DMP that will be consolidated in the deliverables D9.4 and D9.6, to be delivered at project’s M24 and at the end of the project (M36), respectively. New versions of DMP should reflect changes, such as those due to modifications in consortium composition or implementation of new regulations, external factors, such as the emergence of new data standards, new releases of external datasets reused by EOLIAN, and, finally, the inclusion and the documentation of new datasets produced by the project according to the workplan.This deliverable is structured according to the HE template. Section 2 (Data Summary) provides general information about the data usage in the project, namely the purpose and sources of data collection/generation in relation to the achievement of projects goal. Technical information about data formatting and size will be provided. The Section 3 (FAIR data) will describe the general methodologies that the project will follow to ensure that data will be managed according to the FAIR principles and recommended FAIR practices, with subsections specifically targeting the basic elements of FAIR principles. Subsequent sections will deal with the Allocation of resources, Data security and Ethical aspects. Section 5 (Allocation of resources) details how project resources are allocated to the management of research data. Section 6 (Data security) explains what provisions are or will be in placed for data security. Section 7 (Ethics) is about ethics and legal issues could have an impact on data sharing.For each dataset that is released, relevant information will be provided highlighting specific methods adopted to be compliant with FAIR objectives. It is expected that this section will be enriched with the description of new datasets as the EOLIAN progresses in implementing its work plan.It is expected that EOLIAN will generate a significant amount of research data including (but not limited to) vitrimer polymers and composite characteristics data, composite processing and product data. New datasets will be generated and new insights from existing data sources will be developed. A key challenge is to ensure the impartiality and accuracy of any data collected since data can become biased towards an individual or organisation’s objectives and secondary data may be misinterpreted if they were collected for a different purpose. To mitigate these weaknesses, we will compare our results with those obtained from reliable data/information sources.