About Course
This course equips bioinformaticians with the skills and knowledge needed to manage and govern data effectively, following best practices and standards in bioinformatics.
Course abbreviation: DMG
Lectures created by Dr. Adam Bekhit
Workload: 12-week course structure.
Entrance requirements: Not specified
Used media: Reading materials, online resources, software and tools
Objectives
- Understand principles and importance of data management and governance in bioinformatics
- Manage the data lifecycle from creation to archiving
- Ensure data quality, security, and regulatory compliance
- Explore data standards, metadata management, and FAIR principles
- Understand challenges and solutions in omics data management
- Integrate, catalog, and visualize data effectively
- Understand big data technologies and model management
Assessment
- Weekly quizzes
- Practical assignments
- Capstone project demonstrating mastery of course content
Course Content
Week 1: Introduction to Data Management and Governance
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Introduction to Data Management and Governance
00:00
Week 2: Data Lifecycle Management
Week 3: Data Quality Management
Week 4: Data Standards and Metadata
Week 5: Data Storage Solutions
Week 6: Data Security and Privacy
Week 7: Data Governance Frameworks
Week 8: Data Integration and Interoperability
Week 9: Data Cataloging and Master Data Management
Week 10: Omics Data Management
Week 11: Model Management and Big Data in Bioinformatics
Week 12: Data Visualization, Reporting, and Course Review
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