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DataPLANT knowledge base
DataPLANT knowledge base
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The DataPLANT knowledge base offers its users to explore fundamental topics on research data management (RDM) and explains how DataPLANT implements these aspects to support plant researchers with RDM tools and services.
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URL: https://nfdi4plants.org/nfdi4plants.knowledgebase/index.htmlCommunities:Disciplines:Proficiency Levels:
  • Novice
  • Advanced Beginner

NFDI4Biodiversity Self-Study Unit - Research Data Management for Biodiversity Data
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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.
Learning Resource Type
Assessment, Course
File Format
Unknown
Languages
English
Media Type
Text, Video
Publication Date
2023-12-23
License
CCBYSA
Authors
Keywords
#Research Data Management#Biodiversity#Data Life Cycle#Ecologist
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FAIR Cookbook (chap. 3, 4, 5)
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FAIR Cookbook (chap. 3, 4, 5)Online resource for the Life Sciences with recipes that help you to make and keep data Findable, Accessible, Interoperable and Reusable (FAIR).
Learning Resource Type
Cookbook, Web page
File Format
HTML
Languages
English
Media Type
Text
License
CCBY
Authors
Keywords
#terminology#metadata
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Forschungsdatenmanagement für Agrarwissenschaftler und Biologen
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Forschungsdatenmanagement für Agrarwissenschaftler und BiologenPresentation slides for a Workshop about research data management for students and researchers of agricultural sciences and biology. Workshop held at Humboldt-Universität zu Berlin, 12 May 2016.
Learning Resource Type
Lecture
File Format
PPTX, ODP, PDF
Languages
German
Media Type
Presentation
Publication Date
2016-05-27
License
CCBY
Authors
Keywords
#Research Data Management#Data Journals#Data Paper#Metadata#Pangaea#Repositories#Research Data#re3data
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NFDI4Biodiversity Self-Study Unit - Research Data Management for Biodiversity Data
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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.
Learning Resource Type
Assessment, Course
File Format
PDF
Languages
English
Media Type
Text
Publication Date
2023-12-23
License
CCBY
Size
2.8 MB
Authors
Keywords
#Research Data Management#Biodiversity#Data Life Cycle#Ecologist
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The Research Data Management toolkit for Life Sciences: Plant Sciences
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The Research Data Management toolkit for Life Sciences: Plant SciencesData management for Plant Sciences.
Learning Resource Type
Web page
File Format
HTML
Languages
English
Media Type
Text
License
CCBY
Authors
Keywords
#botany
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Data Science for Ecologist in R: Tidy Data - Self-Learning Video Series
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Data Science for Ecologist in R: Tidy Data - Self-Learning Video SeriesThe two-part self-study series "Data Science for Ecologists in R" teaches researchers from the fields of biology and ecology how to use the free programming language R. The first part gives an introduction to what tidy data is and why it is a great way of mapping the meaning of a dataset to its structure. The second part focuses on Linear Models in R.
Learning Resource Type
Lecture
File Format
Unknown
Languages
English
Media Type
Video
Publication Date
2023-05-31
License
Proprietary
Authors
Keywords
#R#NFDI4Biodiversity#Data Science#Ecologists#Tidy Data#gfbio
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