Research data management encompasses all stages of handling data created during a research project, either primary or secondary. It is not only about adhering to principles but also about enhancing the efficiency, impact, and integrity of research.
Effective data management ensures that data are Findable, Accessible, Interoperable and Reusable (FAIR principles). The foundation of sensible data management lies in understanding and applying best practices across the data lifecycle from planning to sharing, while adhering to ethical standards and legal requirements.
During this free 90-minute online workshop, we will explore the key components of effective research data management, including data management planning, organising, and documenting data, ensuring data quality, storing and backing up data, as well as strategies for data preservation and sharing. The workshop will also cover practical tools and techniques for data management, such as metadata standards for documenting data, data quality semi-automated freeware, and best practices for data sharing and archiving.
The workshop will conclude with a dedicated Q&A session.
Presenter: Dr. Hina Zahid and Cristina Magder
Level: Introductory
Experience/knowledge required: Basic understanding of research methods is recommended but not required.
Target audience: Academic and non-academic data professionals such as researchers, academic and professional services staff, data managers, data stewards and others keen on advancing their research practices through effective data management.
