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Introduction to Jupyter Notebooks
Introduction to Jupyter Notebooks
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The self-study course offers an introduction to Jupyter Notebooks. Thematically it starts with the installation of the Software, teaches first operations with the system and eventually shines a light on advanced use cases, like the transformation from Python code into Jupyter Notebooks. Furthermore it offers informations on how to use Jupyter Notebooks in Teaching.
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Search & Reuse Research Data
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Search & Reuse Research DataThe OER provides a good overview of the topics mentioned in the title. It works with a combination of reading parts, explanatory videos and a quiz at the end of each section. Additionally, at the end of each section, links to further information are listed, which offer the user the possibility to deepen their knowledge individually.
File Format
Unknown
Languages
German
Publication Date
2019-10-23
License
CCBY
Authors
Keywords
#metadata#dataquality#authority data#exploration
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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
Keywords
#research data management#analyzing#archiving#copyright#data curation#data life cycle#data management plan#data visualization#license#organizing#programming#project management#python#r#repository#visualization
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Open Science Advanced Course
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Open Science Advanced CourseThis course is based on the "Basic Course" offer of the KIM Open Science Center of the University of Konstanz. It offers a collection of seven modules aiming at research and training related aspects around Open Science, like Policies and Strategies, Research Data Management and perspectives across ERUA countries and Planning Data Management, Models and Publishing, Citizen Science, Legal Aspects and Alternative Measures of Research Impact in the context of Open Science and Open Educational Resources.
File Format
Unknown
Languages
English
Publication Date
2023-08-23
License
CCBY
Authors
Keywords
#dataquality#research data management#data management plan#organizing#academic publishing#digital publishing#publishing#storing
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KIM Open Science: Von Daten zu Publikationen
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KIM Open Science: Von Daten zu PublikationenThe "Open Science: From Data to Publications" online self-study course offers a clear overview of selected topics. Since the focus is on "Open Science", no claim is made to offer a comprehensive overview of Research Data Management. The videos and specific content from different input providers are presented in a structured and clear way.
File Format
Unknown
Languages
German
Publication Date
2020-09-08
License
CCBY
Authors
Keywords
#research data management#academic publishing#digital publishing#publishing
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Research Data Management - an Online Introduction (HeFDI Data Learning Materials)
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Research Data Management - an Online Introduction (HeFDI Data Learning Materials)The self-study course is characterised by a clear structuring of nine blocks (Introduction to FDM; The Life Cycle of Research Data; DMP; Metadata and Metadata Standards; FAIR and CARE Principles; Data Quality; Data Organisation; Data Storage and Archiving; Law). The individual chapters contain different media (text, image and video files), tasks and are designed to build on each other thematically. The contents are supported by examples from different disciplines with literature references and links to further platforms and sources (e.g. DFG) and the learning objectives are successively recorded.
File Format
Unknown
Languages
German
Publication Date
2022-03-01
License
CCBYSA
Authors
Keywords
#metadata#dataquality#authority data#research data management#data life cycle#data management plan#organizing#care principles#fair#longterm preservation#preserving
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Digital Text Editing with TEI
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Digital Text Editing with TEIThe tutorial 'Digital Text Editing with TEI' consists of a series of chapters that build on each other to introduce the coding and editing of texts according to the guidelines of the Text Encoding Initiative (TEI). The tutorial is designed for use in teaching, but can also be used for self-study. It is therefore not tailored to a specific user group, but is suitable for anyone who wants to edit digital text using TEI. TEI itself, i. e. the free accessibility and use of the coding, as well as the recommendation of freely accessible repositories, correspond at least in part to the FAIR principles. The tutorial is a technical training in TEI and does not contain instructions or recommendations concerning RDM.
File Format
Unknown
Languages
German
Publication Date
2014-06-01
License
CCBY
Authors
Keywords
#metadata#editing#teaching#text
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