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Research Data Management in a nutshell – planning, organising and reusing research data in the context of Open Science
Data is an essential part of almost any research and thus are of inestimable value to
every scientist. No matter if it’s a small sample or „Big Data“ – they need to be deliberately and systematically handled. In the context of good scientific practice research data management is a requirement both for reproducibility of scientific research and for data reuse. In this course we want to give an overview on the management of research data throughout the data life cycle and how
it can be supported by tools and services of the Service Center Research Data by TU Dresden/SLUB - https://tu-dresden.de/kontaktstelle-forschungsdaten. Topics include insights on data management planning, the description of data with metadata, personal and collaborative data management, archiving and the publication of research data.
This course is offered on occasion of the International Open Access Week 2019.