Title: Train-the-Trainer Course / Instructor Guide
Course: Teaching Open Science and Research Data Management for Undergraduates

Title: Teaching Open Science and Research Data Management for Undergraduates

Description:
This course is designed to prepare trainers for delivering the online course Introduction to Open Science and Research Data Management to undergraduate students. This Train-the-Trainer course provides trainers with a thorough understanding of the course content, structure, and assignments. By completing the course, trainers will become familiar with both the course content and practicalities, equipping them with the knowledge and confidence to offer the course to their students.

The course for undergraduates is available as a stand-alone course, either in its entirety or in selected parts. The course content and materials are easily accessible and can be used directly or copied to your own platform. As assingment options, there are written exercises and quizzes (all with correct answers). Instructions for writing a learning diary are also provided at the end.

Trainers will explore the six course modules:

Modules | Content and Objectives
Module 1: Introduction to Open Science | The module aims to provide students with a comprehensive understanding of Open Science, including its basic principles and objectives, historical background, and development. Additionally, it covers the benefits and challenges associated with adopting Open Science practices.
Module 2: Open Access | The module aims to provide students with a thorough understanding of Open Access, including its role in scholarly communication, the meaning and practices of Open Access publishing, and the benefits of publishing in Open Access. Additionally, it addresses the risks of predatory publishers and explores the benefits and challenges of open peer review.
Module 3: Copyright, Licences & Open Source Software | The module aims to provide students with a solid understanding of intellectual property and copyright, emphasizing their importance in scientific work and Open Science practices. It also covers the principles of open licensing, including the uses and implications of open licenses, and provides insights into how open source software operates.
Module 4: Introduction to Research Data Management | The module aims to provide students with a clear understanding of research data, its importance in research, and the various stages of the research data life cycle along with related data management activities. It also covers the FAIR principles, distinguishing between FAIR data and open data, and identifies sensitive data, emphasizing its specifics in data management.
Module 5: Research Data Management in Practice | The module aims to provide students with an understanding of what a proper data management plan includes and the tools available to develop one. It covers the basic principles of data collection and reuse, identifies reliable sources of reusable data, and teaches how to organize and document data appropriately. Additionally, it explains the concepts of metadata and persistent identifiers, the principles of publishing data from a FAIR perspective, and the role of data repositories in data preservation and sharing.
Module 6: Research Impact and Visibility | The module aims to provide students with an understanding of research impact, including the different types of impact indicators and how they function. It also emphasizes the importance of research visibility and explores various methods to enhance the visibility of research.

Train-the-Trainer course completion and assessment:
The course is completed by (1) getting to know the student course, (2) passing the quiz after each module, (3) completing a final quiz after the whole course, and (4) filling out the course feedback survey.

The course for students can be found below. Explore the modules and the assignments attached to them, and answer the quizzes (note: only the quizzes, not the assignments), and fill out the course feedback.

Target audience: Educators and trainers responsible for teaching undergraduate university students.

Level: Beginner/Intermediate

Date / duration: Self-paced

Location: Online

Number of attendees: Unlimited

Prerequisites: Access to internet

Language: English

Access cost: No

Certification: The "Instructor Badge" will be given upon completion of all the activities included in the course

DOI Link: https://doi.org/10.5281/zenodo.15193548

License: https://creativecommons.org/licenses/by/4.0/, unless otherwise noted

Keywords: Open Science; Research Data Management; Undergraduate students; Learning materials

Developers/authors: Tuulikki Alamettälä, Sanna Kumpulainen, Päivi Rauste, Siiri Fuchs, Anna-Maria Hämäläinen, Christiane Stork, Nikos Bakas, Mauro Paschetta, Luca Schirru

The course has been developed as part of the Skills4EOSC-project.

Contacts: Sanna Kumpulainen (sanna.kumpulainen@tuni.fi)