Data Management and Data Literacy

This lecture was part of the NFDI4Biodiversity & iDiv Seasonal School on Data Management in Biodiversity and Environmental Science introduces key principles of data management and data literacy, emphasizing best practices for organizing, storing, and handling data according to FAIR principles. You will explore various data types in biodiversity and environmental science and learn how to align your research data management (RDM) strategies with funding requirements and institutional policies. The NFDI4Biodiversity & iDiv Seasonal School on Data Management in Biodiversity and Environmental Science was a collaboration between the German Centre for Integrative Biodiversity Research (iDiv) and the NFDI4Biodiversity consortium. This course offered cutting-edge skills and knowledge essential for handling scientific data throughout its life cycle. The intensive five-day program combined direct knowledge transfer with practical lessons to introduce participants to fundamental and advanced tools in research data management (RDM), tailored to enhance their future careers. An updated version with a focus on Data Managemen Plans was presented at the third Seasonal School on Data Management in Biodiversity and Environmental Science, organised jointly by NFDI4Biodiversity, the Hessian Research Data Infrastructure HeFDI and the German Centre for Integrative Biodiversity Research iDiv.