Data Lifecycle Management for Academia

Data Lifecycle Management for Academia delves into the systematic processes involved in handling research data throughout its lifecycle. Participants will engage in project-based learning, focusing on practical applications that enhance their understanding of data management principles in academic research. This course empowers individuals to effectively manage data from creation and storage to sharing and preservation, ensuring they are equipped with the necessary skills to navigate the complexities of data management in their respective fields.
Through a series of interactive sessions, learners will explore critical aspects of data lifecycle management, including data planning, organization, and documentation. Participants will be encouraged to publish their findings and experiences in Cademix Magazine, fostering a culture of knowledge sharing and professional development. By the end of the course, attendees will have a robust portfolio of skills and a comprehensive final project that demonstrates their expertise in managing research data effectively.
Introduction to Data Lifecycle Management
Data Planning and Documentation Techniques
Data Storage Solutions: Cloud vs. Local
Metadata Standards and Best Practices
Data Sharing and Collaboration Tools
Data Preservation Strategies
Data Security and Access Control
Data Quality Assessment and Improvement
Utilizing Data Management Software
Final Project: Developing a Data Management Plan for an Academic Research Project

Equip participants with the knowledge and skills necessary to manage research data effectively throughout its lifecycle.

Graduates, job seekers, business professionals, and optionally researchers or consultants.

A foundational understanding of research methodologies and data handling practices.