Course Overview
This course equips data stewards, librarians, archivists, curators, and
research support staff with the knowledge and skills to effectively manage
research data. Participants will explore the fundamentals of Data Management
Plans (DMPs), their significance, and best practices for creating and
implementing them. Through hands-on sessions, learners will gain practical
experience with the ARGOS tool, a key platform for managing DMPs in
alignment with Open Science and FAIR data principles. Additionally,
participants will learn to build customized DMP templates and workflows
tailored to their institutions' needs, ensuring seamless integration into research
processes.Learning Outcomes
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 SyllabusLesson 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 audinces, 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, study cases
Audience: Data stewards, librarians,
archivists, research support staff, and managers in academic and research
institutions
5 Lessons
Updated: May 2025