Data may be grouped into four main types based on methods for collection that is observational, experimental, simulation, and derived. The type of research data you collect may affect the way you manage that data.
For example, data that is hard or impossible to replace for example the recording of an event at a specific time and place. This requires extra backup procedures to reduce the risk of data loss. Or, if you will need to combine data points from different sources, you will need to follow best practices to prevent data corruption.
Observational Data
Observational data are captured through observation of a behavior or activity. It is collected using methods such as human observation, open-ended surveys, or the use of an instrument or sensor to monitor and record information — such as the use of sensors to observe noise levels at the Mpls/St Paul airport. Because observational data are captured in real time, it would be very difficult or impossible to re-create if lost.
Experimental Data
Experimental data are collected through active intervention by the researcher to produce and measure change or to create difference when a variable is altered. Experimental data typically allows the researcher to determine a causal relationship and is typically projectable to a larger population. This type of data are often reproducible, but it often can be expensive to do so.
Simulation Data
Simulation data are generated by imitating the operation of a real-world process or system over time using computer test models. For example, to predict weather conditions, economic models, chemical reactions, or seismic activity. This method is used to try to determine what would, or could, happen under certain conditions. The test model used is often as, or even more, important than the data generated from the simulation.
The worthiness of the data is determined vy how it is collected. Moreover, data collection works best knowing who your target audience is. Data collection is very important in any situation as how it is collected determines its results.
In summation research data is important to students in different subjects.Its findings determine the research outcome and how it will be like.