Data collection
Data Collection
Data collection (/ˈdeɪtə kəˈlɛkʃən/) is a systematic process of gathering and measuring information on variables of interest, in an established systematic fashion that enables one to answer stated research questions, test hypotheses, and evaluate outcomes. The data collection component of research is common to all fields of study including physical and social sciences, humanities, business, etc.
Etymology
The term "data collection" is derived from the Latin word "datum" which means "something given" and the English word "collection" which means "the action or process of collecting someone or something."
Related Terms
- Data: A collection of facts, statistics, or information that are represented in various formats.
- Data Analysis: The process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.
- Data Mining: The process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.
- Data Management: The practice of collecting, keeping, and using data securely, efficiently, and cost-effectively.
- Data Quality: The condition of a set of values of qualitative or quantitative variables.
- Data Processing: The collection and manipulation of items of data to produce meaningful information.
- Data Visualization: The graphical representation of information and data.
Methodologies
Data collection methods can be divided into two categories: Quantitative methods and Qualitative methods.
- Quantitative methods use numerical data and often involve statistical tools. This includes methods such as surveys, questionnaires, and experiments.
- Qualitative methods are more subjective and involve understanding the reasons and motivations behind behaviors. This includes methods such as interviews, focus groups, and observations.
Importance
Data collection is crucial for businesses, organizations, and researchers. It provides the necessary information for a detailed analysis, which can then lead to the discovery of new facts, conclusions, or findings. It also helps to ensure the validity and reliability of the study.
See Also
External links
- Medical encyclopedia article on Data collection
- Wikipedia's article - Data collection
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