Data Search: See Discover and Reuse Data
Data Management Planning: DMPTool
Working with Active Data: OSF
Publishing Datasets:
Zenodo (for larger datasets)
ZU Scholars (for smaller datasets)
Publishing Metadata: ZU Scholars
Need help? Contact researchdata@zu.ac.ae
Research data is defined here as any information that has been collected, observed, generated or created to validate original research findings. Data may be numerical, descriptive, visual or tactile. It may be raw, cleaned or processed, and may be held in any format or media. Data can be, for example:
Source: ANDS Guide. What is research data?
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Research Data Management (RDM) is a process that includes all activity surrounding the data, e.g. planning, collecting, analyzing, organizing, describing, sharing, and preserving your research data. It includes the management of active data during your research project and also how the processed and analyzed data is preserved and shared after the project. Research Data Management is often presented as a cycle with the following or similar steps (Image Source: University of California, Santa Cruz).
When working with research data, you should always try to follow the FAIR principles. These are guidelines on how to make your data Findable, Accessible, Interoperable and Reusable. See Share and Publish Data for more information.