What is it?
Research Data Management (RDM) encompasses the practices, processes, and tools used to organize, store, preserve, and share research data throughout its lifecycle. It has become a key aspect of good scientific practice, improving research rigor and reproducibility while ensuring compliance with ethical and legal frameworks. RDM facilitates meeting funders' Open Science policies and offers researchers increased visibility and enhanced collaboration opportunities.
Note: Research data management often occurs within an organisational context with connected funder and/or publisher policies. Online guides, such as ours, help you learn about the key concepts of data management. In case of conflicting advice, your organisation's and funder’s policies always take precedence.
The data lifecycle stages are important for the Research Data Management.
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Data Preservation and Sharing
Best practices for preserving and sharing research data throughout its lifecycle
Data Formats
Guidelines for selecting appropriate data formats for long-term preservation and accessibility
Persistent Identifiers
Introduction to Persistent Identifiers and its importance on research data preservation
Regulations and Policies
International and national regulations affecting research data preservation
Trusted Repositories
Guidelines for selecting and using trusted repositories for research data storage
Contact us
For questions, please email rdarc@lnds.lu