This 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.
Bulk formatting of questions in LiaScript formatThis is a short R script to automatically format questions in LiaScript format, based on text in a table.
The structure of questions in the table is the same that R package GIFTr is using to format questions in GIFT format.
The example questions are from the HeFDI Selbstlerneinheit Forschungsdatenmanagement - eine Online-Einführung (HeFDI Data Learning Materials). These questions are also used in the NFDI4Biodiversity Self-Study Unit—Research Data Management for Biodiversity.
Introduction to research data managementSlides for a 60 min presentation on basic aspects of research data management. The first part discusses motivations and solutions for improved research data management specific for ecological and biodiversity data. The second part gives an overview of simple, hands-on improvements of research data management along the data life cycle. Many of the discipline specific tools and services presented in the talk are provided by the NFDI4Biodiversity consortium. Included is also an overview of generic tools and services provided by the local eResearch Center of the Philipps University of Marburg in close collaboration with the Hessian Research Data Infrastructures (HeFDI).
Template for the NFDI4Biodiversity & GfÖ Winter SchoolThis publication showcases the NFDI4Biodiversity & GfÖ Winter School 2022, a transformative one-week course program designed to equip young scientists with essential Research Data Management (RDM) skills tailored for biodiversity and environmental data. Organized by the NFDI4Biodiversity consortium, the Winter School fostered data literacy and promoted sustainable research practices within the ecological and environmental science communities.
The publication offers an overview of the Winter School's structure, curriculum, and highlights. Throughout the course, participants engaged in a series of expert-led lectures and hands-on practical sessions, delivered by renowned academics, data specialists, and research institutions in the biodiversity domain. These sessions covered critical aspects of RDM, encompassing data collection, curation, analysis, visualization, and long-term preservation.
The curriculum extensively explored state-of-the-art software tools for data handling, including Jupyter notebook, R, Python, RightField, and OpenRefine. By providing hands-on training with these tools, the Winter School empowered participants to enhance their data management workflows and produce robust research outcomes.
Targeting PhD students and Early-Career Researchers, the Winter School nurtured the next generation of scientists, equipping them with the necessary skills to navigate the challenges posed by increasingly complex and diverse ecological datasets.
By sharing insights, lessons learned, and practical guidance, this publication serves as an invaluable reference and guide for organizers, educators, and researchers seeking to create impactful and inclusive training programs in research data management for biodiversity and related studies.
The Winter School's legacy lies not only in the skills acquired by participants but also in the collaboration across the biodiversity and environmental science community. It exemplifies the commitment of NFDI4Biodiversity to advance data-driven research and contribute to a more sustainable and biodiverse planet
NFDI4Biodiversity Self-Study Unit - Research Data Management for Biodiversity DataThe NFDI4Biodiversity Self-Study Unit (SSU) provides in-depth knowledge for both students and researchers specializing in biodiversity and environmental sciences. This learning is based on the online learning unit "Forschungsdatenmanagement - eine Online-Einführung (HeFDI Data Learning Materials)" of the Hessian Research Data Infrastructures. Developed in collaboration between several partners within NFDI4Biodiversity, the SSU offers essential domain-specific knowledge in research data management.
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 DataThe NFDI4Biodiversity Self-Study Unit (SSU) provides in-depth knowledge for both students and researchers specializing in biodiversity and environmental sciences. This learning is based on the online learning unit "Forschungsdatenmanagement - eine Online-Einführung (HeFDI Data Learning Materials)" of the Hessian Research Data Infrastructures. Developed in collaboration between several partners within NFDI4Biodiversity, the SSU offers essential domain-specific knowledge in research data management.