The instructional videos from RWTH Aachen offer a good first introduction to the topic of FDM. The offer is generic and covers the basics of good FDM in six videos (<10 minutes). The videos are linked by a narrative thread based on an example, but each video is stand-alone and can be understood without viewing previous videos.
Research Data Management for Biodiversity DataThis course provides an introduction to research data management specifically tailored to the needs of biologists and is offered by the Biodiversity Data Consortium NFDI4Biodiversity in cooperation with the Hessian Research Data Infrastructure HeFDI.
NFDI4Biodiversity Self-Study Unit - Research Data Management for Biodiversity DataThis course provides an introduction to research data management specifically tailored to the needs of biologists and is offered by the Biodiversity Data Consortium NFDI4Biodiversity in cooperation with the Hessian Research Data Infrastructure HeFDI.
Open Science: Basic CourseThis course is a collection of eight modules aiming at research and training related aspects around Open Science. Furthermore, this course discusses more generic content like Open Access, research data management, FAIR data and other relevant topics like repositories, persistent identifiers, legal questions in the context of Open Science and Open Educational Resources.
KIM Open Science: Von Daten zu PublikationenThe "Open Science: From Data to Publications" online self-study course offers a clear overview of selected topics. Since the focus is on "Open Science", no claim is made to offer a comprehensive overview of Research Data Management. The videos and specific content from different input providers are presented in a structured and clear way.
Research Data Management - an Online Introduction (HeFDI Data Learning Materials)The self-study course is characterised by a clear structuring of nine blocks (Introduction to FDM; The Life Cycle of Research Data; DMP; Metadata and Metadata Standards; FAIR and CARE Principles; Data Quality; Data Organisation; Data Storage and Archiving; Law). The individual chapters contain different media (text, image and video files), tasks and are designed to build on each other thematically. The contents are supported by examples from different disciplines with literature references and links to further platforms and sources (e.g. DFG) and the learning objectives are successively recorded.
MANTRA Research Data Management TrainingThe MANTRA Research Data Management Training self-study course of the University of Edinburgh offers a good, English-language introduction to the topic of research data and research data management, with minor restrictions. The content of the course is rather generic and is aimed at all those who deal with the topic of research data in the context of a research project. The course is divided into eight content modules, each of which is concluded with exercises, as well as a further module containing tutorials with existing data sets for various software solutions. It should be noted that the statements on funding policy, funding institutions and DMP requirements focus predominantly on the UK.