Research Data Guide
This guide provides an overview of research data management and introduces resources that can help you plan, store, share, and reuse research data. Explore the sections below to find guidance for different stages of the research data lifecycle.
1. Understanding Research Data
Learn what research data is, why it matters, and how effective research data management can help make research more transparent, accessible, and reusable.
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2. Plan Your Data Management
Effective research data management begins with planning. Data management plans can help you organise your work, meet funder requirements, and address issues such as storage, documentation, and data sharing from the outset.
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- What Is a Data Management Plan (DMP) – and Why Does It Matter?
- How to Create a Data Management Plan in DMPonline
3. Store and Organise Research Data
Secure storage and good data organisation reduce the risk of data loss and make research data easier to manage throughout a project.
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4. Meet Legal and Policy Requirements
Research data management often involves legal, ethical, and contractual obligations. Understanding applicable requirements helps ensure that data is managed responsibly and in accordance with regulations and funder expectations.
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5. Make Data FAIR and Reusable
Applying the FAIR principles can make research data easier to find, access, interoperate with other data, and reuse. Data citation can further support its discovery, reuse, and recognition as a valuable research output.
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6. Share Research Data
Sharing research data can increase its visibility, accessibility, and potential for reuse. Explore repositories and services that can help make research data openly available when appropriate and ensure long-term access and preservation.
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7. Find and Reuse Research Data
Existing datasets can provide valuable resources for new research projects. Learn how to discover and evaluate research data created by others.