Research Data Management Training Kit

Training kit on research data management

Research data:

Research data has been defined in a number of ways by researchers; it is data that is collected, observed or found for purposes of analysis and producing original research results. It is also: the factual records of (texts, images and sounds used) as primary sources for scientific research, which are considered generally accepted and necessary in the scientific community to verify the validity of research results.

Types of research data

Research data can be generated for different purposes and through different tools. Types of research data include the following:

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Observational data:

This is data that was captured in real time, and usually cannot be dispensed with. Examples include data observing changes in sea level during tides, survey data and sample data.

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Measurements and remote sensing device data:

Such as: soil sensor device measurements.

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Statistics and indicator data:

Such as: earthquake indicator data.

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Experimental data:

This is data obtained from laboratory equipment, and it is often reproducible, but it can be costly. For example: gene sequencing and magnetic field data.

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Simulation data:

This is data generated from test models, where these models and the metadata are more important than the data output. For example: climate models, economic models.

• Derived or translated data:

This is data that is not reproducible but is expensive. For example, data extraction and 3D models.