SubjectsSubjects(version: 978)
Course, academic year 2025/2026
   
Research Data Management - AISE00044
Title: Research Data Management
Guaranteed by: Institute of Information Studies and Librarianship (21-UISK)
Faculty: Faculty of Arts
Actual: from 2025
Semester: summer
Points: 0
E-Credits: 5
Examination process: summer s.:
Hours per week, examination: summer s.:0/2, Ex [HT]
Capacity: unknown / unknown (10)
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
Key competences:  
State of the course: taught
Language: English
Teaching methods: full-time
Level:  
Is provided by: AISP53011
Additional information: https://moodle.cuni.cz/course/view.php?id=773
Note: course can be enrolled in outside the study plan
enabled for web enrollment
can be fulfilled in the future
Guarantor: Mgr. Adéla Jarolímková, Ph.D.
Class: A – Mezioborová nabídka VP: Informace a nová média
Annotation -
The main goal of the course is to introduce students to basics of research data management on the example of
their master thesis project. The course will be taught online and will include two online sessions and a Moodle
course.
Topics
- Open science, open data – policies, good scientific practice
- Research data management – data life cycle, short term preservation, metadata and documentation,
persistent identifiers, repositories and long term preservation
- Data management plans and DMP tools
- Legal and ethical aspect of RDM

Zoom: https://cesnet.zoom.us/j/98373590445?pwd=MXpUcnJnd0o2Ui8xTktndmdxLzQ0QT09

Moodle: https://moodle.cuni.cz/course/view.php?id=773
Last update: Jarolímková Adéla, Mgr., Ph.D. (14.01.2026)
Course completion requirements -

Submission of a data management plan

Last update: Jarolímková Adéla, Mgr., Ph.D. (07.02.2024)
Syllabus

Course Description: This course introduces students to principles and best practices in managing research data effectively throughout the data lifecycle. Students will learn strategies for organizing, documenting, storing, sharing, and preserving research data in accordance with ethical and legal standards. Through a combination of lectures, discussions, hands-on exercises, and case studies, students will develop practical skills and knowledge essential for conducting research in various disciplines.

Course Objectives:

  1. Understand the importance of research data management in academic and professional settings.
  2. Identify and apply best practices for organizing, documenting, and describing research data.
  3. Evaluate different storage and backup solutions for research data.
  4. Recognize ethical and legal considerations related to research data management, including data privacy and intellectual property rights.
  5. Explore methods for sharing and publishing research data while maintaining confidentiality and integrity.
  6. Learn about data preservation strategies and long-term archiving options

Course Topics

1.  Introduction to open science

2.  Introduction to research data management

    • Overview of research data lifecycle
    • Importance of data management in research
    • Ethical and legal considerations

    3.  Data management plans

      • Principles of data organization
      • File naming conventions and directory structures
      • Metadata standards and documentation
      • Types of storage solutions (local, cloud-based, institutional repositories)
      • Benefits and challenges of data sharing
      • Data sharing policies and practices
      • Data privacy and intellectual property
      • Data citation standards and practices

      4. Hands-on practice – DMPonline

        • Developing the DMP for the thesis or project the students are working on
        Last update: Jarolímková Adéla, Mgr., Ph.D. (16.01.2025)
         
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