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KIM Open Science: Von Daten zu Publikationen
KIM Open Science: Von Daten zu Publikationen
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Description

The "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.
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Open Science: Basic Course
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Open Science: Basic CourseThis course is a collection of eight modules aiming at research and training related aspects around Open Science. Furthermore, this course discusses more generic content like Open Access, research data management, FAIR data and other relevant topics like repositories, persistent identifiers, legal questions in the context of Open Science and Open Educational Resources.
File Format
Unknown
Languages
English
Publication Date
2022-09-30
License
CCBY
Authors
Keywords
#metadata#research data management#data life cycle#dataquality#authority data#fair#academic publishing#digital publishing#publishing
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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#data life cycle#analyzing#archiving#copyright#data curation#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
#research data management#dataquality#academic publishing#digital publishing#publishing#data management plan#organizing#storing
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FDM-Lehrvideos
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FDM-LehrvideosThe instructional videos from RWTH Aachen offer a good first introduction to the topic of FDM. The offer is generic and covers the basics of good FDM in six videos (<10 minutes). The videos are linked by a narrative thread based on an example, but each video is stand-alone and can be understood without viewing previous videos.
File Format
Unknown
Languages
German
Publication Date
2022-04-27
License
CCBY
Authors
Keywords
#research data management#data life cycle#fair#publishing#data management plan#organizing#longterm preservation#preserving#persistent identifier
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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#research data management#data life cycle#dataquality#authority data#fair#data management plan#organizing#longterm preservation#preserving#care principles
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How to be FAIR with your data
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How to be FAIR with your dataThe teaching and training manual is intended to support higher education institutions in integrating FAIR-specific content into curricula. It offers a comprehensive presentation of all FDM and FAIR topics, arranged by competence profiles, and includes practical material.
File Format
Unknown
Languages
English
Publication Date
2021-12-21
License
CCBY
Authors
Keywords
#research data management#fair#publishing#data management plan#research data#teaching#training
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