Introduction to Research Data Management
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Philipps-Universität Marburg
Abstract
This presentation was part of a 4 h workshop on basic aspects of research data management for participants of the “IMPRS Welcome week for new doctoral researchers”, organised by the Max Planck Institute for Terrestrial Microbiology. In this workshop, members of the Marburg University eResearch Service Center discussed day-to-day handling of research data along the data life cycle (DLC), data management plans (DMPs), electronic lab notebooks (ELNs), and introduced version control with Git, the Marburg University GitLab instance, and the Marburg University Jupyter instance. The presentation is designed as a collection of useful resources for further studies.
Keywords
research data management , research data , RDM , training , research data management training , RDM training , good scientific practice , FAIR data , FAIR principles , CARE principles , data quality , data availability , documentation , data management plan , DMP , data life cycle , DLC , data collection , electronic lab notebook , ELN , copyright , licenses , data analysis , reproducible workflows , metadata , metadata standard , standardisation , naming convention , versioning , version control , git , GitLab , Jupyter , terminology , data storage , 3-2-1 back-up , data preservation , archiving , long-term archiving , data publication , persistent identifier , PID , research data repository , biodiversity , NFDI4Microbiota , NFDI4Biodiversity , National Research Data Infrastructures , NFDI
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Except where otherwise noted, this item's license is described as Attribution 4.0 International