List course un catalog

By the end of the course, participants will be able to:

• Understand the principles and
  importance of DMPs in research.
• Explain the historical and
  current landscape of DMP tools and policies.
• Use the ARGOS tool to create,
  manage, and enhance DMPs.
• Apply best practices to support
  researchers in developing comprehensive DMPs.
• Lead the implementation of
  Research Data Management (RDM) policies at their institutions.
• Build and customize DMP templates
  to meet organizational needs.
• Design workflows for integrating
  DMPs into institutional research practices, ensuring compliance with Open
  Science standards.

Course Syllabus

Lesson 1: Introduction to DMPs and Research Data Management (RDM)

• Overview of DMPs and their role in RDM.
• Key concepts of Open Science and data sustainability.

Lesson 2: Evolution and Current Practices in DMPs

• Historical development of DMPs.
• Current tools and best practices for effective data management.

Lesson 3: ARGOS Tool for DMP Management

• Introduction to ARGOS: features, functionalities, and practical applications.
• Hands-on session for creating DMPs using ARGOS, ensuring compliance with institutional and Open Science policies.

Lesson 4: Practical Assignment

• Scenario 1: Implement a Research Data Management policy at an institution.
• Scenario 2: Lead the Data Management Planning for a new research project.

How to Use This Course as a Trainer

This course is designed for trainers to deliver engaging, interactive sessions. Each lesson combines foundational theory with practical exercises to ensure knowledge application.

Interactive Learning:
Incorporate slides, quizzes, group discussions, and hands-on activities to balance theory and practice.

Pedagogical Tips:

• Use small groups for collaborative exercises.
• Incorporate gamification techniques to enhance engagement and retention.

Tailoring for Audiences:
Adapt the content for various audiences, such as researchers, data stewards, and managers, by emphasizing relevant aspects like ethics, data protection, and Open Science practices.

Supporting Resources:
Provide additional materials, including templates, guidelines, and tools, to help participants deepen their understanding and apply best practices in DMP creation and management.

Details

• Language: English
• Resource Types: Interactive sessions, slides, exercises, videos, quizzes
• Audience: Data stewards, librarians, archivists, research support staff, and managers in academic and research institutions

FAIR principles

Open Science

Data Librarian

Data Stewards

Innovators

Librarians

Research Projects

Researchers

Trainers

CC-BY

Activity Plan

Lesson Plan