Create a Survey in less than 60 seconds!

Create a Survey in less than 60 seconds!

Create Free Account

Our surveys come with superpowers ⚡

Blog General

Data Collection in Research – The Key to Uncovering Valuable Insights

Parvathi Vijayamohan

23 March 2023

6 min read

Have you tried to solve a jigsaw puzzle blindfolded? It’s impossible. No matter how many pieces you put together, it’s impossible to know if they fit in the right spot. 

Just like a jigsaw puzzle, data collection is an essential part of research. Without collecting data, researchers are unable to make sense of the problem or uncover valuable insights. 

In this article, we’ll help you:

First, let’s first define what exactly data collection is in research.

Data collection in research

What is Data Collection in Research?

Data collection in research is the process of gathering relevant information from a variety of sources. After that, we analyze it systematically in order to answer questions or draw conclusions about a particular topic or issue. 

In short, it’s all about gathering evidence to understand something better — in this case, our research question or hypothesis.

Next, we explore the main methods for collecting data in research.

Data collection methods

Four Main Data Collection Methods in Research

Let’s take a look at each one in more detail.

Primary Data Collection Methods 

Primary data collection methods collect new data from primary sources. Researchers do this with the help of tools like surveys, interviews, focus groups, observations and experiments. 

As a result, primary sources provide researchers with raw information that they can use to draw conclusions. 


  • The information gathered in this approach is specifically for the research study at hand. 
  • Moreover, there are a variety of tools available to gather the data you need. 
  • By collecting original information that can’t be obtained from existing sources, primary research gives you more control over the type of data you collect. 


This method requires a lot of resources. Depending on the scale of the study, you may need to have researchers out in the field for extensive interviews or survey-taking. 

Looking for a pocket-friendly way to conduct surveys? SurveySparrow enables you to create conversational surveys that get a minimum 40% higher response rate.

Creating a free account is as easy as 1-2-3:

Secondary Data Collection Methods 

This method uses existing datasets from books, magazines or online sources. Moreover, we also include public records such as census records or government documents.

Additionally, secondary data collection methods are also referred to as desk research.


  • Secondary data collection gathers existing information from sources that are already publicly available. For example, government census records or published academic papers. 
  • Researchers analyze this information to learn useful facts about what they’re researching – without the hassle of creating original documents themselves. 


  • This research type may lack the details you need because it was originally created for another purpose.
  • Additionally, it makes cross-researching difficult. 

Qualitative Data Collection Methods 

This method involves using interview techniques and other forms of open-ended questioning such as focus groups. These allow researchers to gain insight into people’s feelings, motivations and beliefs on a particular topic. 


  • Qualitative data collection methods utilize non-numerical metrics – such as opinions or experiences – by studying narrative descriptions instead of statistics.
  • By analyzing this type of information, constructive ideas can be developed by discovering enduring patterns among stories. This helps us discover meaningful trends within our audience.
  • It also offers great insight into why people behave a certain way, which would be hard to detect from simply looking at numbers alone. 


  • Bias may come into play given the subjectivity associated with this approach.
  • Since opinions vary within many groups, analysis must be done thoughtfully in order to draw informed conclusions.

Quantitative Data Collection Methods 

This method involves using statistical analysis tools, such as surveys, which allow researchers to quantify results so that they can be compared across different populations or over time periods.

Quantitative methodologies can involve fundamental mathematics or more advanced statistical techniques such as hypothesis tests and regression analysis


  • Viewing research through a quantitative lens can help pinpoint specific results from your group based on the numbers it yields. 
  • Quantitative data collection methods empower decision makers by offering exact numbers and precise measurements. These elements are vital to strategic planning.


  • Measurement errors are a potential drawback. 
  • With quantitative data, you lack a key element: the context. This makes it hard to get insights into the feelings and motivations of your audience.

Now that we have outlined the four main types of research methods, let’s uncover the types of data you can gather from them. 

Types of data

Types of Data You Can Derive From These Research Methods  

Most research and discoveries rely on data from observations, experiments, simulations, or derived sources.

Observational Data

We gather observational data from direct observation of an individual, event, or environment. This type of data is collected through observation by either an individual researcher or by using automated sensors such as cameras or recording devices. 

Experimental Data

Researchers collect this type of data through experimentation, by manipulating variables and measuring the effects on outcomes. Experimental data shows us how different factors affect the outcome of a particular experiment. 

Simulation Data

This type of data is generated by running computer models which simulate real-world scenarios. Then we measure their outcomes against actual results derived from observation or experimentation. 

Simulation data gives us the power to model complex systems in order to predict possible outcomes and make decisions with greater confidence.

Derived Data

This type of data is derived from multiple sources such as survey responses; we often combine these with demographic information from census records. These are then merged into one dataset for analysis purposes. 

Derived data compiles all prior research onto a single source in order to gain a broader perspective on any particular topic. 

To sum up: data collection in research will often involve collecting valuable information from all of these sources, combining them together to form meaningful conclusions and answers.

Data collection tools

Types Of Data Collection Tools 

There are three main types of tools for collecting observational, experimental and simulation based data: 

Manual Tools

These include paper or digital questionnaires; face-to-face interviews; field notebooks for recording observations made during fieldwork; ethnographic diaries; video cameras for recording events, etc.

Additionally, manual data collection involves writing down information about respondents by hand, often covering long distances. 

Electronic Tools

These include online questionnaires shared using survey software; digital cameras & camcorders; microphones & audio recorders, etc.

Compared to manual tools, electronic collection is more cost-effective, in terms of time, manpower and operational costs. This because you can share the survey and collect information online at the click of a button. 

Automated Tools

These include sensors & monitoring equipment used for remote sensing & environmental monitoring applications. 

Automated data collection allows organizations and businesses to collect large amounts of raw data from multiple touch points to make real-time decisions. Often, these tools are powered by machine learning algorithms. 

So whichever tool you choose, always remember to maximize your data collection capabilities for the best chance of success. 

Related content: The Top Data Collection Tools of 2023


Collecting reliable, high quality data is key when conducting any sort of research. This will form the basis of your analysis, interpretations and conclusions. 

By understanding data collection research plus the various tools available today, we can determine:

  • How best to utilize our resources effectively
  • Achieve our survey objectives within time and budget constraints.
  • Understand whether our study has captured enough information for our goals.

Need guidance on how to plan the data collection process? Check out the 7 things about the data collection process your boss wants to know. Happy surveying!

Parvathi Vijayamohan

Growth Marketer at SurveySparrow

Fledgling growth marketer. Cloud watcher. Aunty to a naughty beagle.

Leave us your email, we wont spam. Promise!