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D6.3 - DMP - Data Management Plan

Title: D6.3 - DMP - Data Management Plan
Authors: Artopoulos, Georgios; Spanos, Charalampos; Andreou, Andreas; Dent-Murgui, Daniel; Calmeiro, M. R.; Buenaño, Cristina; García-Esparza, Juan A.; Stanganelli, Marialuce; Gerundo, Carlo
Publisher Information: Zenodo
Publication Year: 2025
Collection: Zenodo
Subject Terms: Urban ecology; urban regeneration; evidence-based; data-driven; living knowledge labs; urban biodiversity; historic centres
Description: Deliverable 6.3 comprises a comprehensive Data Management Plan (DMP), which outlines the specifics of the data that will be collected and/or generated through the entire span of the project. As it deals with all data deriving from every activity that will be performed in the context of the project, the role of the DMP is transversal to all Work Packages (WP). Besides outlining the type, format, size, source, and purpose/utility of the data, along with its associated metadata, it also details strategies for achieving findability, accessibility, interoperability, and reusability of information. Furthermore, it defines policies concerning data security, preservation, and ethical and legal considerations related to data sharing and assigns responsibilities to the Data Manager. The DMP is a living document that will undergo periodic reviews at yearly intervals during the project, specifically at months 18 and 30. These reviews will ensure that the DMP remains fit for purpose both during and after the project, especially as new data accumulate. The DUT Partnership wish to promote open, transparent and robust urban and global change research by encouraging more open sharing of research data, leading to wider data analysis, more data re-use, and the combination of datasets from multiple sources. The DUT Partnership believe that an increased emphasis on the open sharing of research data has the potential to stimulate new approaches to the collection, analysis, validation and management of data, and to the transparency of the research process. The DUT Partnership also recognise that not all research data can be shared openly, and that there will be legitimate reasons to constrain access, for example the risks to the privacy of individuals must always be considered where data arise from, or are derived from, personally identifiable data.
Document Type: text
Language: English
Relation: https://zenodo.org/communities/dut_b_green/; https://zenodo.org/records/15788318; oai:zenodo.org:15788318; https://doi.org/10.5281/zenodo.15788318
DOI: 10.5281/zenodo.15788318
Availability: https://doi.org/10.5281/zenodo.15788318; https://zenodo.org/records/15788318
Rights: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number: edsbas.FAA3F44F
Database: BASE