A. Rassõlkin, V. Rjabtšikov, T. Vaimann, A. Kallaste, V. Kuts, G. Demidova
{"title":"Digital Twin Data Handling for Propulsion Drive System of Autonomous Electric Vehicle: Case Study","authors":"A. Rassõlkin, V. Rjabtšikov, T. Vaimann, A. Kallaste, V. Kuts, G. Demidova","doi":"10.1109/RTUCON51174.2020.9316471","DOIUrl":null,"url":null,"abstract":"Nowadays, data is not just a collection of static documents, but a continuous flow of information. Research projects are required not only to manage data efficiently but also to keep it safe to ensure that it can be later correctly interpreted and reused. The Data Management Plan (DMP) is a document that describes the data management life cycle for the data to be collected, processed and/or generated during the project workflow. The DMP is not a fixed but rather a living document that will evolve through the lifespan of the project. A general idea of the paper is to give a brief description of the data (including any existing data, data taken from third-party sources or produced data) that is used during the project lifetime. Special attention is paid on how the data is created and collected, how the data is organized during the project (naming conventions, version control, and folder structures). Moreover, the choice of format and implications of data format and data volumes in terms of storage, backup, and access is discussed.","PeriodicalId":332414,"journal":{"name":"2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTUCON51174.2020.9316471","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Nowadays, data is not just a collection of static documents, but a continuous flow of information. Research projects are required not only to manage data efficiently but also to keep it safe to ensure that it can be later correctly interpreted and reused. The Data Management Plan (DMP) is a document that describes the data management life cycle for the data to be collected, processed and/or generated during the project workflow. The DMP is not a fixed but rather a living document that will evolve through the lifespan of the project. A general idea of the paper is to give a brief description of the data (including any existing data, data taken from third-party sources or produced data) that is used during the project lifetime. Special attention is paid on how the data is created and collected, how the data is organized during the project (naming conventions, version control, and folder structures). Moreover, the choice of format and implications of data format and data volumes in terms of storage, backup, and access is discussed.