Speaker
Description
In the realm of research, effective data governance plays a pivotal role in ensuring the integrity, accessibility, and usability of research data. We delve into the significance, methodologies, and complexities involved in establishing robust data governance frameworks tailored specifically for research data.
Research data governance encompasses the policies, processes, and infrastructure which facilitate data management, sharing, and reuse while adhering to ethical, legal, and regulatory requirements. This abstract elucidates key components of research data governance, including data management plans, data stewardship, metadata standards, and data sharing protocols.
Moreover, it addresses the unique challenges encountered in governing research data, such as heterogeneous data formats, disciplinary differences, and evolving data management practices. Strategies for overcoming these challenges, such as community-driven standards development, interoperable data repositories, and data curation services, are explored.
Furthermore, it discusses emerging trends and technologies shaping the landscape of research data governance, such as open science initiatives, FAIR principles (Findable, Accessible, Interoperable, Reusable), and machine-readable data policies. It emphasises the need for collaborative efforts among researchers, institutions, funding agencies, and policymakers to foster a culture of responsible data stewardship and data sharing.
