Data collection is the process of gathering information to answer a research question. There are two main categories of data: quantitative data, which deals with measurable numbers, and qualitative data, which involves descriptions and non-numerical data. Data can be either primary, which is originally collected for the research, or secondary, which has already been collected previously. Proper planning is important for data collection, including determining how, when, by whom, and where the data will be collected, as well as ensuring its accuracy.

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Data Collection
Prof.Dr.Chinna Chadayan.N
RN.RM., B.Sc (N)., M.Sc (N)., Ph.D (N).,
Professor
Enam Nursing College
M.Sc (N) I year
Unit 16a
Data Collection:
Flow chart
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2. Meaning of Data collection
• It is the process by which the researcher
collects the information needed to answer
the researcher problem.
• The task of data collection begins after a
research problem has been defined and
research design chalked out.
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3. Catogories
Quantitative Data – Type of data which deal with numbers which
are measurable such as height, weight, length of the animals, etc.
Qualitative Data – Type of data which deal with descriptions such
as by words, images, observations, conversations, photographs,
etc.
Literally, data in research are often discussed in terms of variables
where a variable is regarded as any characteristic that varies from
one member of a population to another.
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4. Types of data collection
i) Primary Data : Those which are collect a fresh
and for the first time, and thus happen to be
original in character. It is originally collected.
ii) Secondary data : The data have been already
been collected by someone else and which
through the statistical process.
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5. Procedures for Data Collection
Planning for data collection before it is actually
collected is important. Having appropriate answer
from these questions can yield desirable results:
 How is the data collected?
 When is the data collected?
 Who is responsible for collecting and
recording the data?
 Where is the collected data stored?
 How do we ensure that the data is correct?
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7. Data collection flow chart.
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9. Thank u
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