Session Agenda
Research studies generate a copious amount of data and researchers must effectively organize, maintain, and archive the data for increased quality and enhanced research impact. Enago conducted an insightful webinar which discussed the lifecycle of research data and the data quality characteristics essential to get the most out of the available information. The webinar focused on explaining to researchers the importance of good research data management practices and how one can devise a useful data management plan. This session also explained the principles of data sharing and reuse, role of data repositories, and how AI can support data management.
Researchers will learn:
- Introduction to Research Data
- How to Improve Research Data Quality
- Research Data Management
- Data Repositories and their Role in Research Data Management
- Principles of Data Sharing and Reuse
- Role of AI in Research Data Management
Who should attend this session?
- Master's Students
- Doctoral students
- Early-stage researchers
- Postdoctoral Researchers
- Senior Researchers
- Research Researchers
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