Research Data Management and Curation: What Librarians need to know

This article provides an in-depth exploration of Research Data Management (RDM) and data curation, emphasising their importance for modern academic research. It defines RDM as a systematic approach to organising, storing, and safeguardingresearch data, ensuring compliance with legal, ethical, and funding body regulations. Data curation is the ongoing management of data to ensure its accessibility and quality over time. Key components of RDM and curation include data management planning, data collection and documentation, data storage and security, data preservation, and data sharing and access. The article also discusses the benefits of RDM and curation, such as enhanced reproducibility, data reuse, and collaboration,while addressing the challenges, including resource intensity and technical expertise gaps. Best practices, such as early planning, collaboration, and regular review, are recommended to overcome these challenges and ensure the integrity, accessibility,and longevity of research data. The article underscores the critical role of librarians in supporting effective RDM and curation practices, contributing to the advancement of knowledge and scientific discovery.