Research Data Management in Health Sciences
Description
Proper research data management (RDM) is becoming an important prerequisite for the successful approval and execution of research projects.
This two-day course will provide you with the essential knowledge and skills to enhance the management of the research data in your PhD project, with a specific focus on documenting data and annotating metadata
Day 1
On the first course day, you will have the opportunity to discuss your RDM challenges with RDM experts of the University of Basel and learn from them about the basic principles, methods, tools, and legal aspects of RDM. You will receive practical advice on data organization, data protection, storage solutions and useful RDM services.
Day 2
On the second course day, Dr. Silke Gerlich from the Helmholtz Metadata Collaboration will conduct an in-depth training session on data documentation and metadata annotation. This will equip you with the necessary knowledge to publish your research data in repositories specific to the health sciences.
Learning objectives
- You know and understand basic principles, methods and tools for RDM in the health sciences.
- You are able to apply the gained knowledge to store, organize and document your own research data and annotate relevant metadata.
- You are able to critically assess your own data management and you know the most important service providers for RDM at the University of Basel.
Target group
University of Basel PhD students of the Faculty of Medicine and of Swiss TPH.
Min 6, max 17 participants
About the lecturer(s)
Christina Besmer is coordinator of the Data Stewardship Program and a member of the Research Data Management Network of the University of Basel. She has long-term experience in research data management and works in the Open Science Department at the University Library.
Markus Bossert is a member of the Data Stewardship Program and the Research Data Management Network of the University of Basel. He works in the Open Science Department at the University Library and likes to pass on his many years of experience in research and his profound knowledge of research data management.
Loredana Martignetti is deputy data protection officer of the University of Basel and a member of the Research Data Management Network. She has a background in both data protection and research data management and is excited to share her knowledge in this area.
Dr. André Brunella is head of the Clinical Data Center in the Department of Clinical Research at the University of Basel. Together with his team, he provides support for data-driven clinical research at the University.
Dr. Thierry Sengstag is head of sciCORE, the center for Scientific Computing at the University of Basel, and has extensive experience with storage solutions at the University, including customized solutions for the health sciences.
Dr. Francesco Santini is a research group leader and data steward at the Department of Biomedical Engineering of the University of Basel and a member of the Basel node of the Swiss Reproducibility Network. He has many years of experience in working with data in the health sciences.
Dr. Silke Gerlich works at the Forschungszentrum Jülich and is a data steward and trainer of the Helmholtz Metadata Collaboration. She is passionate about making research (meta)data handling more approachable for the scientific community.
Workload
30 hours, of which 15h course attendance, 1 ECTS
Course Assessment (Pass/Fail) criteria
- Seminar preparation (10%). Participants are expected to familiarize themselves in advance with the topic of research data management, using the provided training materials.
- Seminar participation (50%). Participants are expected to attend and actively participate in the two course days.
- Homework assignment & post-processing (40%). Participants are expected to do hands-on exercises on selected RDM topics between the course days to train their practical RDM skills.
