Research Data Management and Sharing Fundamentals

In the modern scientific landscape, data is a valuable asset that requires careful planning, organization, and preservation. Whether you are launching your first study or looking to standardize your research workflow, understanding how to handle your data responsibly is crucial for credibility and collaboration. This course guides you through the entire research data lifecycle, transforming how you store, document, and publish your findings. You will learn how to design robust data management plans that satisfy institutional requirements and ensure your work remains secure, accessible, and reproducible. What you'll learn: - Understand the core stages of the research data lifecycle and the foundational principles of open science - Create comprehensive data management plans that meet modern funding and institutional standards - Apply best practices for file organization, versioning, naming conventions, and metadata documentation - Implement secure data storage, backup strategies, and basic anonymization techniques for sensitive information - Master the FAIR data principles to make your research findable, accessible, interoperable, and reusable - Identify appropriate repositories and persistent identifiers to share your data confidently with the global community The course begins with fundamental definitions and the core concepts of the data lifecycle before moving step-by-step through planning, organizing, securing, and ultimately sharing your datasets. Through written explanations and practical scenarios, you will build a solid foundation in modern data stewardship. This course is designed for beginner researchers, graduate students, and academic support staff with no prior experience in formal data management. Start reading today to establish clean, reliable, and compliant data habits for your research projects.