Plasma-PEPSC D7.3 Updated Data Management Plan
Data management is a critical component of research and innovation projects. It involves handling data, preserving it, and making it accessible to other researchers. This updated Data Management Plan (DMP) highlights the datasets produced as part of the project activities that are relevant for inclusion in the DMP. It outlines the types of data generated or gathered during the project, the standards applied, the methods for exploiting and sharing data for verification or reuse, and the strategies for data preservation. The DMP is a living document that evolves throughout the project’s lifecycle, particularly when significant changes occur, such as dataset updates or modifications to Consortium policies. This updated version of the DMP builds on the foundational document delivered in Month 6 of the project. It provides an overview of the datasets produced by the project and outlines the specific conditions attached to them. While this version continues to cover a wide range of aspects related to Plasma-PEPSC data management, it expands on previous iterations by addressing key areas such as data interoperability and the practical data management procedures implemented by the Plasma-PEPSC project consortium. This document has been developed in accordance with established guidelines and serves as a consolidated plan for Plasma-PEPSC partners, ensuring adherence to the project’s DMP policy.
Institutions
- Helmholtz-Zentrum Dresden-Rossendorf (DE)
- KTH Royal Institute of Technology (SE)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-12-18
- DOI
- https://doi.org/10.5281/zenodo.17979165
- Primary Topic
- Research Data Management Practices
- Type
- article
- Field-Weighted Citation Impact
- 0.00