Free Online Research Data Management Advisor

Research Data Management (RDM) refers to the processes and practices involved in handling research data throughout its lifecycle, from planning and creation to storage, sharing, preservation, and eventual disposal or archiving.

Proper Research Data Management is crucial for ensuring data integrity, reproducibility, compliance with institutional and funder policies, and enabling data sharing and reuse. It also helps to protect intellectual property rights and maintain data security and privacy.

Key aspects of Research Data Management include data planning, documentation, organization, storage, backup, security, access control, sharing, preservation, and archiving or disposal. It also involves adhering to relevant policies, standards, and best practices.

The Research Data Management Advisor tool provides guidance and recommendations on best practices for managing research data throughout its lifecycle. It can help researchers develop data management plans, implement proper data organization and documentation practices, and ensure compliance with relevant policies and standards.

The Research Data Management Advisor tool can be useful for researchers, research teams, data managers, librarians, and anyone involved in the creation, management, or stewardship of research data across various disciplines and domains.