Academic research consists of objective studies, generally based on observation and data collection, which are subsequently analysed and interpreted. When undertaking any scientific or research project, it is important to understand what types of data will be required, their nature, how to collect them, and how to extrapolate them to the wider population, if necessary. Furthermore, it is important to handle the data properly so that it can be presented correctly and clearly in the text of the work. We can help you with this through our binding service.
What is research data?
There are various definitions depending on the field of study or the nature of data analysis in research. However, data can be described as the information that is collected or generated during the course of any type of research project. Generally, this information is quantitative in nature, although in fields such as the social sciences, one may also refer to qualitative data, which is analysed in a significantly different way.
This data provides a solid and objective foundation for any academic thesis, accepted by the entire scientific community. Classifying the different types of research data enables the creation of general protocols that all academics must adhere to. In this way, all university and academic literature is consistent in its presentation of scientific data.
Types of data in research
Generally speaking, there are various classifications of research data types based on format, nature, level of processing, sources or presentation format:
Format
We are talking about numerical, descriptive or visual data.
Nature
This classification of data types refers to whether they are quantitative or qualitative.
Level of processing
The scientific community distinguishes between raw data (also known as primary data), processed data and analysed data.
Sources
The data is drawn from research, simple observation, surveys, computer-based studies, and so on…
Exhibition format
In this case, the classification depends on the format in which the data is presented. It may be in digital text, in image format, in a structured format, in the form of a recognised software code, or by creating proprietary software.
Tips for working with research data
One of the main challenges facing researchers is managing a vast amount of information in the form of data.
Nowadays, there are protocols, programmes and working methods that make use of tools such as information technology to make work easier. One example is the RDM protocol (the acronym stands for Research Data Management). This is a standardised system for storing, managing and interpreting data that enables compliance with the requirements of official bodies at an international level, improves data protection and reduces the margin of error associated with duplication, data going unnoticed, etc.
By following these guidelines and understanding the different types of data available, you will be able to print your thesis or research paper confident that your arguments are sound and that your conclusions reflect the social or scientific reality you have been studying.
