E-learning + workshop
Data Sharing in Clinical Research
This extensive course provides insight into the benefits and challenges associated with clinical research data sharing and provides you with practical strategies to address them effectively.
Throughout the course you will cover the following key topics:
FAIR and Open Data: Explore the principles of Findable, Accessible, Interoperable and Reusable (FAIR) data and the importance of open data practices.
Good data management practices: Learn essential techniques for efficient and organised data management to ensure the reliability and integrity of your research.
Legal aspects of data sharing: Understand the legal considerations involved in sharing research data to ensure compliance with regulations and ethical standards.
Interoperability and clean data: Gain knowledge on how to achieve interoperability between different systems and ensure clean data for seamless sharing and analysis.
Anonymisation of datasets: Explore techniques for anonymising datasets to protect patient privacy while enabling data sharing for research purposes.
Opportunities for actual data sharing: Discover different ways to share research data, foster collaboration and advance scientific progress.
Charité Berlin Services for Data Management and Data Sharing: Explore the services and resources provided by Charité Berlin to support effective data management and sharing in the context of clinical research.
While this course is primarily designed for clinical researchers at Charité, it may also be useful for researchers from other institutions or those involved in preclinical research.
Licence: Creative Commons Zero v1.0 Universal
Resource type: E-learning + workshop
Date created: 2023-07-30
Scientific topics: FAIR data