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Information package about Praktikum Digitalisierung
Information package about Praktikum Digitalisierung
Authors
Description

During the course, students will explore fundamental digitalization concepts and FAIR research data management within the context of mechanical engineering in a practice-oriented manner. This will be achieved through selected experiments in mechanical engineering, utilizing digital measurement technology. By integrating research data management (aligned with FAIR principles, the data life cycle, and data quality), the course imparts both subject-specific and interdisciplinary data literacy.
Details

URL: https://zenodo.org/records/14222360Communities:Disciplines:Proficiency Levels:
  • Advanced Beginner

Information package about Praktikum Digitalisierung
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Information package about Praktikum DigitalisierungDuring the course, students will explore fundamental digitalization concepts and FAIR research data management within the context of mechanical engineering in a practice-oriented manner. This will be achieved through selected experiments in mechanical engineering, utilizing digital measurement technology. By integrating research data management (aligned with FAIR principles, the data life cycle, and data quality), the course imparts both subject-specific and interdisciplinary data literacy.
Learning Resource Type
Lecture
File Format
PDF
Languages
German
Media Type
Presentation, Text
Publication Date
2024-11-27
License
CCBYSA
Size
5.1 MB
Authors
Data Management Training Clearinghouse (DMTC)
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Data Management Training Clearinghouse (DMTC)DMTC is a registry for excellent online learning resources focusing on data skills and capacity building for research data management, data stewardship and data education.
Learning Resource Type
Reference Work, Web page
File Format
HTML
Languages
English
Media Type
Text
License
Proprietary
Authors
RDMLA – Research Data Management Librarian Academy
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RDMLA – Research Data Management Librarian AcademyThe Research Data Management Librarian Academy (RDMLA) is a free online training program for librarians, information professionals and other professionals working in a data-intensive environment worldwide. Within this framework, a wide range of different topics and content is offered, consisting of eight asynchronous self-paced learning units: introduction to RDM, research data lifecycle and “research culture and ecosystem”, stakeholders, project management, data visualization tools such as R and Tableau, introduction to data analysis, programming skills in Python and Jupyter Notebook, copyright, licensing and privacy issues, and curation and archiving of data. Each unit includes several components of the following three features: On an informational level, learning objectives are taught and provided in the form of video lectures, presentation slides and reading material. Case studies and interactive formats can be used to supplement the content. And after each learning unit, discussion questions and quizzes on the concept can be used as assessment methods.
File Format
Unknown
Languages
English
Publication Date
2019-10-01
License
CCBYNCSA
Authors
No Authors
NFDI4ING Basic RDM Trainings
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NFDI4ING Basic RDM TrainingsThe NFDI consortium for Engineering Sciences (NFDI4ING) is providing a collection of basic trainings on research data management (RDM), covering training modules along the research data lifecycle (DLC) phases as well as cross-topic modules like licenses and metadata. Trainings are provided as self-paced materials for individual learning, but can be used in classes as well.
Learning Resource Type
Other, Web Portal
File Format
MD, PNG, HTML, MP4, H5P
Languages
German
Media Type
Image, Text, Video
Publication Date
2024-12-31
License
CCBY
Authors
How to Use Metadata4Ing - First Steps Tutorial
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0
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How to Use Metadata4Ing - First Steps TutorialThis guide demonstrates how to model metadata for research processes and resulting datasets in engineering with the ontology Metadata4Ing 1.2.1. The guide will enable you to create machine-understandable metadata for your own research data, following Semantic Web standards like RDF, RDFS, OWL, and JSON-LD.
Learning Resource Type
Cookbook, Tutorial
File Format
MD
Languages
English
Media Type
Text
Publication Date
2023
License
CCBY
Authors
Keywords

Data
Literacy
Alliance
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