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data collection

 

Data collection

Data collection is very important. Is the 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. While methods vary by discipline, the emphasis on ensuring accurate and honest collection remains the same.

The importance of ensuring accurate and appropriate data collection


Regardless of the field of study or preference for defining data (quantitative, qualitative), n is essential to maintaining the integrity of research. Both the selection of appropriate data collection instruments (existing, modified, or newly developed) and clearly delineated instructions for their correct use reduce the likelihood of errors occurring.

Consequences from improperly collected data include

  • inability to answer research questions accurately
  • inability to repeat and validate the study
  • distorted findings resulting in wasted resources
  • misleading other researchers to pursue fruitless avenues of investigation
  • compromising decisions for public policy
  • causing harm to human participants and animal subjects

While the degree of impact from faulty data collection may vary by discipline and the nature of investigation, there is the potential to cause disproportionate harm when these research results are used to support public policy recommendations.

collected data

Several plans come together to create a strong, comprehensive, and generally successful market research initiative, and one of the most important pieces is the  data collection plan .

A data collection plan describes how your organization’s data will flow from its source to actionable information. The process of creating this plan will reveal where the data comes from, who has access to it, and how it is collected and stored.

Below we explain why you need to have a plan and how you will use it. We also go over the key steps to creating a data collection plan that ensures your data is on track to produce actionable insights that drive your business.

What is a data collection plan?

Is a detailed document that outlines the exact steps and sequences for collecting data for a project. It is a statistical approach to achieve significant improvements by reducing variation and defects.

A collection plan ensures that data is accurately sent to the organization’s key stakeholders, who will help you meet your data needs. The plan aims to ensure that the data collected is valid and meaningful.

We need a data collection plan to avoid wasting resources on irrelevant or useless data. When developing a data collection plan, we can focus on answering specific questions related to the company.

Why is a data collection plan necessary?

Collecting and analyzing a bunch of different data isn’t much use if you don’t know what it means. A good  plan helps save money and time, as collecting data without a plan can be time-consuming. Additionally, it may not be possible to obtain all the data when it is needed. 

These are the most important reasons why your company needs a collection plan. When creating a data collection plan, you can focus on answering specific questions important to your business.

When and how to use a data collection plan?

A comprehensive data collection plan ensures that the data collected is useful and well organized. The plan is used to evaluate the current state of a process or to improve a project. In addition, it is useful during the last phase of a project when generating new metrics and the necessary evaluation procedures.

An adequate data collection plan involves taking a systematic approach, including:

  • Identify the data to be collected.
  • How the data will be collected.
  • Collect the data

Discover some  data collection techniques  that will be useful to you.

Steps to create a data collection plan

Next, we will explain the steps of a data collection plan to explain how to create one. The plan consists of 8 steps:

Identify the questions

The first step in developing a data collection plan is to decide what questions we want to answer. Our information has to be useful for the project. These questions should be based on what our process is actually like in its current state.

The best way to collect data is to use the  SIPOC diagram  as a guide. We also have to decide what measurements or metrics we want to use.

Identify accessible data

The second step in developing a data collection plan is to determine what types of data can be collected. Sometimes, a specific piece of information can provide us with many solutions. Be sure to list all the data you need to answer the questions underlying the project.

Determine how much data is needed

The third step of a data collection plan is to determine the data needed. Write down how much data is needed for each item on the list. The goal is to collect enough information to perform proper analysis of the data and identify patterns and trends.

Decide how to measure the data

The fourth step in developing a data collection plan is to determine how we measure the data. Data can be measured in various ways, such as check sheets, survey responses, etc. The  type of data  we seek will determine how we measure it. 

Determine who will collect the data

The fifth step in developing a data collection plan is determining who will collect the data. Currently, data can be collected using automated software. We may need to contact the person in charge of the software to ensure that the data is in the proper format.

Choose the data source

The sixth step is to determine the  data sources . Location does not always mean a physical location. It is the place where the process is located. The collection plan should specifically indicate where data should be collected throughout the process.

Choose whether to measure a sample or the entire population

The seventh step is to decide whether to sample the data or not. It is often impractical to measure an entire population of data. In this situation, a sample is then collected. 

The team may need to investigate the following question: What should be our  sampling method  and  sample size  to produce statistically accurate judgments?

Determine data display format

The eighth step is to decide how to display the data. We can display data in many ways, such as  Pareto charts , scatter plots, etc.

Identify accessible data

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