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Forschungsdatenmanagement für Agrarwissenschaftler und Biologen
Forschungsdatenmanagement für Agrarwissenschaftler und Biologen
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Presentation 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.
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URL: https://doi.org/10.5281/zenodo.53196Communities:Disciplines:Target Groups:
  • Teacher (higher Education)
Proficiency Levels:
  • Novice
  • Advanced Beginner

Guidelines for Managing Personally Identifiable Information in the Research Project Data Lifecycle
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Guidelines for Managing Personally Identifiable Information in the Research Project Data LifecycleThese Guidelines are intended to assist agricultural researchers handle privacy and Personally Identifiable Information in the research project data lifecycle.
Learning Resource Type
Web page
File Format
Unknown
Languages
English
Media Type
Text
Publication Date
1905-07-11
License
CCBYNC
Authors
Keywords
#Data Security#Informed Consent#Personal identifiable Information#Privacy Protection#Research Ethics
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Making Data Machine-Readable Webinar
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Making Data Machine-Readable WebinarThis webinar provides a basic overview of machine-readable data. We cover what machine-readable data is, why we prefer machine-readable data over other digital formats where possible, the characteristics of machine-readable data and how to convert tabular data to a machine-readable format.
Learning Resource Type
Lecture
File Format
Unknown
Languages
English
Media Type
Video
Publication Date
2019-03-28
License
Proprietary
Authors
Keywords
#Ag Data Commons#Data Curation#Machine-Readability#Reformatting#Tabular Data#USDA#Webinar
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Data Dictionaries Webinar
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Data Dictionaries WebinarThis webinar provides a basic overview of data dictionaries and the role they play in making data more easily understandable. We talk about what a data dictionary is, why we recommend data be accompanied by a data dictionary, the different types of data dictionaries and how to create a data dictionary.
Learning Resource Type
Lecture
File Format
PPTX
Languages
English
Media Type
Presentation
Publication Date
2019-03-28
License
CC0
Size
1.1 MB
Authors
Keywords
#Ag Data Commons#Data Curation#Data Management#Codebook#Data Dictionary#Feature Catalog
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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#DMP#Data Publication#FAIR#Git#R#Reproducibility
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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
#Data Journals#Data Paper#Metadata#Pangaea#Repositories#Research Data#Research Data Management#re3data
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FAIRmat, Guide to Writing a Research Data Management Plan
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FAIRmat, Guide to Writing a Research Data Management PlanIn this guide, we will provide you with comprehensive information and practical tips specific to the fields of condensed-matter physics and materials science on creating a data management plan (DMP) that meets the DFG requirements and aligns your research with the FAIR data principles, the DFG code of conduct, and the EU open science policy. We will take you through the essential components of a DMP, provide tips on data management best practices, and offer guidance on appropriate tools and technologies. By the end of this guide, you will have the knowledge and tools necessary to create a thorough and effective DMP that not only meets the requirements of the DFG but also supports the long-term success of your research project. This guide follows the sections in the DFG checklist, and the questions to be addressed as required by the DFG are listed after each section. Although this guide is based on the requirements of the DFG, the information is not exclusive to any specific funding agency and can be used as a general guide for other research areas. Before preparing a DMP for your project, make sure to check the specific requirements for your funding agency, discipline, and research institution.
File Format
PDF
Languages
English
Media Type
Text
Publication Date
2023-03-25
License
CCBY
Size
3 MB
Authors
Keywords
#FAIR#Metadata#Research Data Management#NFDI#Repository#Data Management Plan#Forschungsdatenmanagement#FDM#File Format#FAIR data principles
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