The Research Data Management Librarian Academy (RDMLA) is a free online training program for librarians, information professionals and other professionals working in a data-intensive environment worldwide. Within this framework, a wide range of different topics and content is offered, consisting of eight asynchronous self-paced learning units: introduction to RDM, research data lifecycle and “research culture and ecosystem”, stakeholders, project management, data visualization tools such as R and Tableau, introduction to data analysis, programming skills in Python and Jupyter Notebook, copyright, licensing and privacy issues, and curation and archiving of data. Each unit includes several components of the following three features: On an informational level, learning objectives are taught and provided in the form of video lectures, presentation slides and reading material. Case studies and interactive formats can be used to supplement the content. And after each learning unit, discussion questions and quizzes on the concept can be used as assessment methods.
Chemotion. An Introduction to an Open-Source ELN for FAIR DataElectronic Lab Notebooks (ELNs) are a key prerequisite to a comprehensive documentation of research processes, the digital storage of research data, and their reuse. ELNs can be used to plan, record, store and - in combination with repositories - disclose experiments or research data. In the long run, the benefit of ELNs is the option to store and manage data in a standardized way and to enrich the data with (automatically generated) information such as metadata, identifiers and descriptors. For scientists, ELNs offer advantages such as faster research processes and a faster access to information. Selected benefits of the ELN Chemotion - an ELN that was designed for the discipline Chemistry - will be presented to show exemplarily the use of research data management tools. The ELN offers special features for chemical work and includes diverse functions that allow the use of the ELN also in other disciplines. Both, the chemistry specific as well as the generic and adaptable modules will be presented in brief. Chemotion ELN can be used in combination with the open access repository Chemotion. The disclosure of research data to the public is possible by a direct transfer of information from the ELN to the repository. The interoperable systems ELN and repository guarantee on the one hand an easy process for the disclosure of information and on the other hand the availability of comprehensive data including primary data and descriptions. The systems Chemotion ELN and Chemotion Repository are part of the strategy of the National Research Data Infrastructure for Chemistry (NFDI4Chem) in Germany. Dr. John Jolliffe from NFDI4Chem will present the strategy and measures of NFDI4Chem in brief.
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 Advanced CourseThis course is based on the "Basic Course" offer of the KIM Open Science Center of the University of Konstanz. It offers a collection of seven modules aiming at research and training related aspects around Open Science, like Policies and Strategies, Research Data Management and perspectives across ERUA countries and Planning Data Management, Models and Publishing, Citizen Science, Legal Aspects and Alternative Measures of Research Impact in the context of Open Science and Open Educational Resources.
FDM-LehrvideosThe 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.
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.
How to be FAIR with your dataThe teaching and training manual is intended to support higher education institutions in integrating FAIR-specific content into curricula. It offers a comprehensive presentation of all FDM and FAIR topics, arranged by competence profiles, and includes practical material.