Types of data

Starting data collection, It is important to understand what kind of data will be collected during the study so that it can be well managed in advance. Research data can be divided into Variousās groups. Each data typeamay have specific principles of good governance.

Quantitative or qualitative data

One of the most common divisions of data is by the type of information it represents – quantitative or qualitative.
Quantitative research data are quantified data that are obtained using systematic methods such as surveys, experiments, measurements, observations or secondary data analysis. These data are analysed using statistical methods to identify trends, relationships and patterns.
Qualitative research data usually expressed in verbal, visual or other non-numeric formats, and analysed to understand meanings, experiences, attitudes and social phenomena. Qualitative data is obtained through qualitative research methods such as in-depth interviews, focus group discussions, observations and document analysis.

Primary or secondary data

Data types can also be distinguished by the source of the data – primary data or secondary data.
Primary data is original data or information collected by the researcher (or research team) specifically for a particular study. Primary data can be collected by a variety of methods such as surveys, interviews, experiments, observations, etc.
Secondary data is data that has been collected and stored in advance, which the researcher uses but does not collect directly during the research. Secondary data sources can be public or private data repositories, data collected by various institutions and organisations (e.g. statistical offices, monitoring programmes, public administrations, commercial enterprises or health systems). The process of obtaining such data includes researching different data sources and providing access to relevant datasets.

Types of data

Starting data collection, It is important to understand what kind of data will be collected during the study so that it can be well managed in advance. Research data can be divided into Variousās groups. Each data typeamay have specific principles of good governance.

Quantitative or qualitative data

One of the most common divisions of data is by the type of information it represents – quantitative or qualitative.
Quantitative research data are quantified data that are obtained using systematic methods such as surveys, experiments, measurements, observations or secondary data analysis. These data are analysed using statistical methods to identify trends, relationships and patterns.
Qualitative research data usually expressed in verbal, visual or other non-numeric formats, and analysed to understand meanings, experiences, attitudes and social phenomena. Qualitative data is obtained through qualitative research methods such as in-depth interviews, focus group discussions, observations and document analysis.

Primary or secondary data

Data types can also be distinguished by the source of the data – primary data or secondary data.
Primary data is original data or information collected by the researcher (or research team) specifically for a particular study. Primary data can be collected by a variety of methods such as surveys, interviews, experiments, observations, etc.
Secondary data is data that has been collected and stored in advance, which the researcher uses but does not collect directly during the research. Secondary data sources can be public or private data repositories, data collected by various institutions and organisations (e.g. statistical offices, monitoring programmes, public administrations, commercial enterprises or health systems). The process of obtaining such data includes researching different data sources and providing access to relevant datasets.