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Data Management Plan

R - Format and short description This deliverable will be a report written in English. A Data Management Plan (DMP) will be prepared during the first months of the project. It will be a formal document that outlines data will be handled during the research activities, and after the project is completed. Objective This report will aim to detail main aspects about data management during the project execution. The goal is to consider the many aspects of data management, metadata generation, data preservation, and analysis before the project begins; this ensures that data are well-managed in the present, and prepared for preservation in the future. Moreover, the DMP will be update at least every year to reflect modification over the original plan. Content and targets Data Management Plan will answer to these questions: ● What file formats are most appropriate? ● How will you name your files? ● Can others understand the data? ● What metadata standards will you use? ● Where will you store the data? ● Who will do the backup? ● Can you publish / share your data? ● How will you license your data? ● Which data need to be kept? ● Who will share & preserve the data? This report will be delivered at Milestone 1 in draft and updated at the end of the project. Task involved Task 8.2.

The Data Management Plan (DMP) will be developed within the first months of the project and updated regularly until its final edition and delivery by M30. It will contain NEWBITS approach to data management and a summary of the activities performed in terms of key data development.

Data Management Plan

Data Management Plan (DMP) required for the Horizon 2020 Open Research Data Pilot

"""This Data Management Plan will be developed according to Article 29.3 """"Open access to research data"""" and following Guidelines on Data Management in Horizon 2020, Version 1.0, 11 December 2013, addressing Open Research Data Pilot"""

The report describes type of data that will be collected, processed or generated during the project and the methodology and standards that will be used to maintain and preserve this data during and after the completion of the project itself. The report will summarise the outputs of T1.6

Final release of the report concerning the perception module, which will integrate all sensorial data based on appropriate common data models, in order to produce a high level semantics of the data to be captured by the sensor network and any other interconnected device. Provision of a semantics-enabling data fusion layer which interfaces to the decision algorithm in a way that is also compatible with e2Call architecture Describes the data management life cycle for the data to be collected, processed and/or generated by SAFE STRIP, including information about: - the handling of research data during and after the end of the project - what data will be generated, collected and according to which methodology and standards, - What data will be shared, - what data will not be shared and for what reason, - how data will be preserved after the end of the project Relating task: A2.4

The main elements defined include: dataset reference and name, dataset description, standards and metadata, data sharing, data archiving and preservation.

ClimeFish will participate in the H2020 Open Research Data Pilot. A Data Management Plan (DMP) has to be developed detailing what kind of data the project is expected to generate, whether and how it will be exploited or made accessible for verification and reuse, and how it will be curated and preserved.