CUHK Data Excellence Week: DEW 2025 Summary/Recap

The Data Champions program at the CUHK Library is designed to promote data management best practices and foster a culture of data sharing and reuse among researchers. The program involves a network of volunteers who advocate for good data management practices within their faculties and provide support to their fellow students or colleagues. Data Champions receive training and resources from the Library to help them in their role, and they participate in regular meetings and events to share their experiences and learn from each other. The program aims to create a community of data-savvy researchers who can help drive the adoption of data management practices across the CUHK community.

Data Champions 2025 marks the second year of the Data Champions Program. This year, we are proud to have 19 data champions in total, representing all 8 faculties. Among them, 16 are student champions, and the remaining 3 are staff champions.

During this event, we introduced the newly appointed Data Champions from various faculties to the CUHK community. The event also featured a faculty panel discussion on research data management topics with members from the Faculty of Medicine, Faculty of Science, Faculty of Arts, and Faculty of Social Science. See panelist details below.

• Moderator: Professor Jerome HUI, School of Life Sciences, Faculty of Science
• Professor Haerim HWANG, Department of English, Faculty of Arts
• Professor Ngai TO, Department of Chemistry, Faculty of Science
• Professor Julian PFROMBECK, Department of Psychology, Faculty of Social Science
• Professor Terry YIP, Department of Medicine & Therapeutics, Faculty of Medicine

Synopsis of the faculty panel session
During the faculty panel session on research data management, our esteemed panelists from the Faculties of Science, Social Science, Arts, and Medicine shared their insights on various critical aspects of managing research data. They discussed the biggest challenges they face in managing their research data, such as ensuring data integrity and reproducibility, and the strategies they employ to address these issues. The panelists highlighted their methods for organizing and storing research data effectively, as well as their approaches to data sharing and collaboration with other researchers and institutions. They also emphasized the importance of managing sensitive or confidential data, sharing guidelines on data security and ethical considerations. Overall, the session provided valuable perspectives on maintaining high standards of research data management across different disciplines.