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SPP100+ Research Data Management Guideline (RDM Guideline)

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Date

2024-12-03

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Technische Universität Dresden

Abstract

Research data management (RDM) establishes a framework for organizing research data, preventing data loss, and facilitating access to research findings. Furthermore, RDM, along with comprehensive documentation of research outcomes, enhances their durability, scientific reliability, and supports their reuse and reproducibility. In essence, RDM greatly enhances the quality and efficiency of research, fosters collaboration among researchers, and significantly boosts the discoverability and citation frequency of research findings. This document represent the research data management strategy in SPP100+ Program and works as a common agreement between subprojects on how to handle research data.

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Attribution 4.0 International