CFB-ZSI Data Management Plan

This work was supported by MCIN/AEI/10.13039/501100011033/FEDER, UE under Project PID2021-124136OB-I00 CFB-ZSI Data Management Plan — Final version 27 November 2025 Information Sheet Project Reference No. PID2021-124136OB-I00 Project Acronym: CFB-ZSI Project Full Name: Advanced modulation and control techniques for cascaded full-bridge inverters and for impedance-source inverters for multiphase motor drives Call: Proyectos de generación de conocimiento 2021 Principal Investigator: Óscar López Sánchez Coordinating Organization: Universidade de Vigo Deliverable: Data Management Plan Deliverable Type: Report Dissemination Level: Public Delivery Date: 27 November 2025 Digital Object Identifier: 10.5281/zenodo.17458950 2 Table of contents Table of contents ......................................................................................................................... 2 Introduction ................................................................................................................................ 2 Data summary ............................................................................................................................. 2 Data Collection and Generation ............................................................................................................ 2 Data Description ................................................................................................................................... 3 Usefulness of data ................................................................................................................................. 3 Responsibilities ........................................................................................................................... 3 FAIR data ................................................................................................................................... 3 Making data findable ............................................................................................................................ 3 Making data accessible ......................................................................................................................... 3 Making data interoperable .................................................................................................................... 3 Increasing data reuses ........................................................................................................................... 4 Resources and cost ...................................................................................................................... 4 Data security ............................................................................................................................... 4 Ethics .......................................................................................................................................... 4 Introduction This document outlines the Data Management Plan (DMP) for the CFB-ZSI project. The primary goal of this deliverable is to facilitate effective data management for all data collected, processed, or generated throughout the project lifecycle. It describes the types of data involved, as well as the methods for data collection, storage, and dissemination to support validation, exploitation, and re-use by others. The information presented in this DMP reflects the final version, assuming the project has been completed. Data summary The CFB-ZSI project is a research initiative focused on enhancing the performance of multiphase electrical drives. The project aims to achieve this by investigating novel modulation methods and new topologies for electronic power converters. Specifically, the project involves developing advanced postfault techniques for multilevel multiphase voltage source inverters (VSIs), and designing and implementing an electric drive system based on Z-Source Inverters (ZSIs) and multiphase machines. Data Collection and Generation MATLAB data is generated through analysis and simulation scripts. The output data is the result of running these MATLAB scripts. KiCad project files are generated iteratively as the electronic design progresses. 3 Data Description Data Type Description File Formats Volume Estimate Source Code MATLAB scripts for data analysis, simulation, or visualization. .m files <100 kB Output Data Generated data from MATLAB (e.g., analyzed results, figures, simulation outputs). .mat, .fig, .png, .pdf <100 kB Electronic Design KiCad project files including schematics, printed circuit board layout, and component libraries. .pro, .kicad_sch, .kicad_pcb, .lib <100 MB Usefulness of data We anticipate that the project data will be valuable to researchers in the field of power electronic converters, particularly those focused on motor drives. Responsibilities The Principal Investigator, Óscar López, is responsible for the implementation of this Data Management Plan. This includes ensuring adherence to FAIR principles and Open Access policies, and guaranteeing the deposit of all publishable research outputs into designated open-access repositories for long-term preservation. No data generated by this project is subject to intellectual property restrictions. FAIR data All the collected data and research outputs comply with the FAIR principle (Findable, Accessible, Interoperable and Re-usable) and will be managed according to the DMP, addressing data organisation and curation, and making adequate provisions for its access, preservation, sharing, and eventual deletion, both during and after the project implementation. Making data findable The datasets are assigned a Digital Object Identifier (DOI), which allows them to be formally referenced by this unique identifier, ensuring permanent citability. Git is used for version control to manage and track the evolution of our software, data, and models. Making data accessible Data is stored in the following public repositories: • GitHub (https://github.com/olopezuvigo): Used for short-term storage, code development, and data development. • Zenodo (https://zenodo.org/communities/apetuvigo): For long-term storage and preservation. According to Zenodo's general policy, data will be retained for the lifetime of the repository, which is currently planned to operate for at least the next 20 years. Additionally, data will be made available as open-source supplementary information with the corresponding publications. Making data interoperable The power electronics field lacks a single, universal software standard. In the research community, MATLAB is the widely accepted tool for system-level modeling, control algorithm development, and simulating modulation techniques. For the physical hardware design phase, particularly schematic capture 4 and printed circuit board layout for manufacturing, KiCad stands out as a prominent free and open-source electronic design automation suite. Increasing data reuses CFB-ZSI adopts an Open Science approach, releasing its research findings and software under opensource licenses such as the GPL-3.0. This model allows anyone to freely redistribute and modify the materials, provided that derivative works are also shared under the same terms. The project root directories contain a main “README.md” file that offers a high-level overview of the project, including a description of the project and its objectives, setup instructions for both MATLAB and KiCad components, and licensing information and usage guidelines. Additionally, each MATLAB script begins with a block that outlines the script's purpose, and usage instructions. Resources and cost The project's publication expenses were partially offset by the University of Vigo's open access agreements with major scientific publishers like IEEE. Furthermore, free repositories such as Github and Zenodo were used for sharing software and data. This strategy of leveraging institutional support and nocost platforms kept the project's data management costs low Data security All open and shared datasets are securely stored, long-term preserved, and curated in the trusted Zenodo repository. Data published on project websites are securely stored and preserved on institutional servers and storage media. Internal preservation utilizes institutional cloud storage services (e.g., OneDrive) and maintains a second, redundant backup on external storage devices (e.g., external drives). Ethics CFB-ZSI does not work with personal data (information about an identified or identifiable natural person), nor with any other types of confidential or classified data or code. There are no ethics or legal issues that can have an impact on data sharing and long-term preservation.