Objectives
Objectives
The main goal of this course is to provide basic concepts, and practical examples, and hands-on exercises related to Data Management activities for researchers and research support staff. The objectives of the course are:
- Familiarize participants with Data Management fundamentals and best practices for researchers and research support staff.
- Identify the role and responsibilities of Data Managers in research activities.
- Illustrate the practical application of FAIR principles for managing research data.
- Discuss the European context for Data Management, including Data Management Plans for HE.
- Introduce the concepts and practices of Open Science and Open Data.
- Prepare participants to design and deliver introductory training on RDM topics.
- Facilitate hands-on exercises to: a) Compare and contrast various DMP tools and templates available to researchers b) Develop a Data Management Plan for a research project c) Assess the quality and effectiveness of a Data Management Plan.
Requirements
- Some experience working with research data, or with researchers dealing with data management plans.
Learning Outcomes
Upon completing this course, participants will be able to effectively plan and manage research data for a project by developing a comprehensive Data Management Plan (DMP) in accordance with best practices and guidelines. Specifically, participants will have gained a solid understanding of Data Management fundamentals, the role and responsibilities of Data Managers, the practical application of FAIR principles, the European and national context for Data Management, and the practical skills necessary to prepare, evaluate, and compare DMP tools and templates. In addition, participants will understand the principles of Open Science and Open Data, and be equipped to design and deliver introductory training sessions on Research Data Management.
