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NFDI4Biodiversity Winter School Lectures
NFDI4Biodiversity Winter School Lectures
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This Playlist collects recordings of the lectures at the NFDI4Biodiversity Winter School, that aimed on Early-Career-Researcher with a background in biodiversity and environmental science and took place in December 2022. The Winter School was a collaborative event between the Ecological Society (GfÖ) and the consortium NFDI4Biodiversity within the National Research Data Infrastructure Germany (NFDI). Various experts from the partner network (universities, data centers and research institutions) shared their widespread knowledge and trained participants in the fundamentals of Research Data Management (RDM) as well as cutting-edge technologies in handling environmental and biodiversity data across the Data Life Cycle (DLC). Topics were: Data Management and Data Literacy; Taxonomic Harmonization; Data Integration and Annotation; Legal Aspects; Data Search: Publish your Research Data
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URL: https://www.youtube.com/playlist?list=PL06Unzn1hDrhZ4mfsdfeypJajuGsuzdfmCommunities:Target Groups:
  • Phd Student
  • Researcher
  • Teacher (higher Education)
Proficiency Levels:
  • Novice
  • Advanced Beginner
  • Competent

Template for the NFDI4Biodiversity & GfÖ Winter School
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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
Learning Resource Type
Report
File Format
PDF
Languages
English
Media Type
Text
Publication Date
2023-08-08
License
CCBY
Size
2.7 MB
Authors
Keywords
#Data Management#Data Publication#Data annotation#Legal Aspects#NFDI#Taxonomic Harmonization
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#shareEGU20: Handling your data efficiently from planning to reuse–tips & tools to save time & nerves- webinar
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#shareEGU20: Handling your data efficiently from planning to reuse–tips & tools to save time & nerves- webinarThis online Short Course will introduce you to useful tools and best practices that will make your work with research data much easier, more efficient, and enjoyable. It introduces you to Data Management Plans, reproducible data manipulation in R, Version control with git and github, working with clusters and large climate data, and publishing data. This Short Course is relevant to all geoscience fields and the tools presented can be widely applied through all kinds of data sets.
Learning Resource Type
Lecture
File Format
Unknown
Languages
English
Media Type
Video
Publication Date
2020-05-07
License
CCBY
Authors
Keywords
#Data Management#Data Publication#DMP#FAIR#Git#R#Reproducibility
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Combining the BIDS and ARC Directory Structures for Multimodal Research Data Organization
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Combining the BIDS and ARC Directory Structures for Multimodal Research Data OrganizationInterdisciplinary collaboration and integration of large and diverse datasets are becoming increasingly important. Answering complex research questions requires combining and analysing multimodal datasets. Research data management follows the FAIR principles making data findable, accessible, interoperable, and reusable. However, there are challenges in capturing the entire research cycle and contextualizing data according, not only for the DataPLANT and NFDI4BIOIMAGE communities. To address these challenges, DataPLANT developed a data structure called Annotated Research Context (ARC). The Brain Imaging Data Structure (BIDS) originated from the neuroimaging community extended for microscopic image data. Both concepts provide standardised and file system based data storage structures for organising and sharing research data accompanied with metadata. We exemplarily compare the ARC and BIDS designs and propose structural and metadata mapping.
Learning Resource Type
Poster
File Format
PDF
Languages
English
Media Type
Image
Publication Date
2023-09-12
License
CCBY
Size
2.9 MB
Authors
Keywords
#Data Management#NFDI#FAIR#Reproducibility#Metadata#Data Publishing#DataPLANT#NFDI4BIOIMAGE#Microscopy#ARC#Annotated Research Context#BIDS#Bio Imaging#Brain Imaging Data Structure#Data Packaging#Linked Data#Metadata Mapping#Multimodal Data#NFDI4Plants#Plant Science#Research Object
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