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Data Collection: What it Is & Methods with Examples

Data Collection Explained

Data collection is a process of collecting data for research, strategic planning, decision planning, and many more. It’s also a vital part of data analytics research projects and applications. Proper data collection offers information required to answer queries, analyze business performance, etc.

With the data collection methods, you can also predict the scenarios, actions, and future trends. Once you know What is data collection, you will learn that data is collected on numerous levels. This is especially true for all the businesses out there. The IT systems collect data regularly on sales, employees, customers, and many more.

They do so when all the transactions are processed, and the data is provided. Organizations also track down social media and conduct surveys to obtain customer feedback. Data analysts and business users collect all the data and then analyze them through the internal systems. The external data sources are only utilized when needed.

Things you should know about Primary Data

Primary data is new in the data collection realm. It’s untouched, unpublished, and unaltered by the oily fingers of interpretation. It’s much more authentic, reliable, objective, and valid when compared with secondary data.

But primary data is a challenge to come by. It requires a lot more investment in resources, concentration, and time. Small businesses might not need to be in the position to call in private investigators or scientists.

But don’t feel discouraged. You can easily collect primary data from the internet. There are many online forms available, and they are also pretty easy to set up. It will also not cost you many funds and doesn’t take too much time.

Various methods of Data Collection

Now that you know what data collection is, you need to learn about the various methods. According to the type of data you wish to collect, you need to find the best data collection form. You must ensure that the form or method of data collection you choose should be beneficial for your research. Here are some of the best data collection methods:

  • Experimental Method: This is a quantitative method
  • Ethnographies, Focus Groups, and Interviews: These are qualitative methods
  • Archival Research, Surveys, Secondary Data Collection, and Observations: These can be either quantitative or qualitative methods.

But make sure you go for a method that will help you collect data and provide the answer you need. To help you have a good understanding of these methods, here is a table:

ExperimentTo test out a causal relationship.Manipulate all the variables and then measure their effects on others.
SurveyTo understand the opinions or general characteristics of a group of individuals.Distribute a list of questions over the phone, in person, or to a sample online.
Focus Groups/InterviewsTo obtain an in-depth understanding of the opinions and perceptions of a topic.Verbally ask all the participants questions in focus group discussions or individual intervals.
ObservationsTo understand a thing in its natural environmentSurvey or measure a sample without trying to affect them
EthnographyTo study the culture of an organization or community.Participate and join a community and record all your reflections and observations.
Archival ResearchTo understand historical or current events, practices, or conditions.Access to the records, documents, and manuscripts from the internet, libraries, and depositories
Secondary Data CollectionTo analyze the data from populations you cannot access,Look for all the datasets that have been collected already by research organizations or government agencies.

You can use both qualitative and quantitative data collection methods for your research. But before you do anything, it’s important to gain knowledge on data collection.

Challenges you might experience in Data Collection

Even though you can use all types of methods for data collection, at times, you experience some challenges. So, what are these challenges? Let’s find out.

1. Data quality problems

Regarding raw data, it contains inconsistencies, errors, and various other problems. The data-collecting measures are designed to minimize or prevent all these issues. But this is not that foolproof in some cases. Besides that, collected data should go through data profiling to detect all issues. After that, data cleansing helps in fixing all those problems.

2. Finding all the relevant data

Since there is a diverse range of systems that are utilized for navigating and collecting data. But analyzing all these data can be complex work for all the data scientists and other experts. Using data curation methods can make things easier for you to access and find data. For instance, it might contain searchable indexes and develop a data catalog.

3. Deciding the type of data to collect

Under data collection might solve a primary problem for the users who collect data for analytics applications. It can also be an issue for the upfront gathering of raw data. Collecting data, which is not required, can add complexity, cost, and time to the whole process. But leaving out all the helpful data can restrict a data set’s business value and affect the analytics outcome.

  • Dealing with Big Data

The big data settings contain a mixture of semi-structured, unstructured, and structured data in massive volumes. It makes the entire data processing and collecting stages much more complicated. Data scientists have to filter all the raw data sets in the data lake for analytics applications.

5. Low response & other research problems

In research studies, a lack of willing participants or responses can raise questions about the validity of the collected data. There are several other research challenges, such as:

  • Developing enough assurance methods to ensure the data is accurate
  • Training individuals to collect data

It’s time to elucidate your data

Data collection has become extremely crucial in today’s digital world. But by going through this post, data collection will no longer be a mystery. Having proper knowledge will help you navigate through the endless tides of information. By utilizing all the correct tools, you can optimize the research efforts. This will allow you to hone in on the data, which makes the difference.

Also, Read This: 5 Reasons You Need To Switch To Mobile Form Apps For Data Collection

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