6 Tips to Consider While Planning for Data Collection - Atlan | Humans of Data (2024)

Before investing time and money in going to the field to collect data, you need to plan for it properly. Good planning for data collection can help you capture better, richer, more accurate data while saving your time and resources.

Keep reading for 6 tips to help you plan for your data collection better.

1. Think critically about what data you need to collect.

6 Tips to Consider While Planning for Data Collection - Atlan | Humans of Data (2)

It’s all too easy to collect data about everything you can, but it’s important to only collect the data that you actually need! Consider these 3 questions:

  • What information do you actually need?
  • What information is available?
  • What information will be useful?

2. Consider the cost of every additional data point.

Once you have an idea of what data you want to collect, be sure to consider the cost of collecting that data. Every additional data point or survey question adds additional cost for your surveyors and respondents.

3. Do not forget about identifiers.

6 Tips to Consider While Planning for Data Collection - Atlan | Humans of Data (4)

Identifiers — or information that identifies the source and context of a survey response — are just as important as the data on the subject or program you’re actually studying.

Generally, more identifiers will help you pinpoint the successes and failures of your program more precisely, but don’t go overboard!

4. Be sure to consider how you will get each data point.

6 Tips to Consider While Planning for Data Collection - Atlan | Humans of Data (5)

Lots of data isn’t readily available. Sometimes the data exists, but you might not have permission to access it. For example, people’s medical information isn’t freely accessible unless you have a very good reason. Other kinds of information may be difficult to measure.

While choosing what data you will collect, be sure to consider how difficult and quick it will be to collect each piece of information.

5. Mobile-based data collection is the way to go.

6 Tips to Consider While Planning for Data Collection - Atlan | Humans of Data (6)

While paper-based data collection is a classic, mobile-based technologies are the way to go in today’s world. They’re fast and accurate, and they allow you to collect lots of different forms of data at very low costs. With today’s explosion of cheap Android smartphones, there are few reasons to not choose mobile-based data collection.

6. Consider your options for mobile-based data collection.

6 Tips to Consider While Planning for Data Collection - Atlan | Humans of Data (7)

There are 3 main types of mobile-based data collection.

First is IVRS (interactive voice response technology), which will send your respondent a phone call, where he/she will be asked pre-recorded questions. Second, SMS data collection will send your respondent a text message, then he/she can answer text questions on his/her phone. Third, with smartphone apps, field surveyors can enter data directly into an interactive questionnaire as they speak to each respondent.

Each tool has its strengths and weaknesses, so be sure to choose the right one for your survey and respondents.

6 Tips to Consider While Planning for Data Collection - Atlan | Humans of Data (2024)

FAQs

What are the 6 steps of data collection? ›

6. What is involved in collecting data – six steps to success
  • Step 1: Identify issues and/or opportunities for collecting data. ...
  • Step 2: Select issue(s) and/or opportunity(ies) and set goals. ...
  • Step 3: Plan an approach and methods. ...
  • Step 4: Collect data. ...
  • Step 5: Analyze and interpret data. ...
  • Step 6: Act on results.

What should be considered when planning for data collection? ›

These factors are; the research goal, the scope of the study, sample size, type of data, time and user-friendliness to the subjects. Other factors are research approach, safety and security of a researcher, the need for triangulation and theoretical framework.

What are the six methods of data collection? ›

They can range from simple self-reported surveys to more complex quantitative or qualitative experiments. Some common data collection methods include surveys, interviews, observations, focus groups, experiments, and secondary data analysis.

What are the tips in data collection? ›

Tips for collecting data
  • Match the information you want to gather to the method of data collection.
  • Understand the difference between reliability and validity during your data collection process.
  • Know whether you need qualitative, quantitative or both types of data to meet your goals.
Feb 12, 2024

What are the 6 C's of data? ›

Data that is Clean, Complete, Comprehensive, Chosen, Credible, and Calculable.

What are the 6 steps of data analysis in qualitative research? ›

Clarke and Braun's (2013) Six Step Data Analysis Process
  • Familiarization of data.
  • Generation of codes.
  • Combining codes into themes.
  • Reviewing themes.
  • Determine significance of themes.
  • Reporting of findings.
Apr 19, 2024

What are the 10 steps in collecting information? ›

Ten steps in information collection
  • Agree on the value and purpose of the information that you will collect. ...
  • Determine when you want to use this data. ...
  • Determine exactly what you want to know. ...
  • Determine who will find the information. ...
  • Identify possible sources of information.

What are the five methods of data collection? ›

The 5 most common methods for data gathering are, (a) Document reviews (b) Interviews (c) Focus groups (d) Surveys (e) Observation or testing. While each has many possible variations, we will discuss their typical use here. Here are some basic principles to keep in mind when selecting methods.

What are 5 factors you must consider when selecting a research design? ›

The factors that determine the selection of research methodology include the type of study, the objectives, the population, study design, methodology/techniques, and the sampling and statistical procedures used.

What are the three 3 major techniques in data collection? ›

Under the main three basic groups of research methods (quantitative, qualitative and mixed), there are different tools that can be used to collect data. Interviews can be done either face-to-face or over the phone.

Why are data collection methods important in research? ›

Data collection methods are important, because how the information collected is used and what explanations it can generate are determined by the methodology and analytical approach applied by the researcher.

How to analyze data in research? ›

  1. Step 1: Write your hypotheses and plan your research design. ...
  2. Step 2: Collect data from a sample. ...
  3. Step 3: Summarize your data with descriptive statistics. ...
  4. Step 4: Test hypotheses or make estimates with inferential statistics. ...
  5. Step 5: Interpret your results.

What is very important before data collection? ›

Planning Your Data Collection: Designing methods for effective research. Planning your research is very important to obtain desirable results. In research, the relevance of data cannot be overlooked. It plays a pivotal role in laying a foundation to your study.

What are three major things required for good data collection? ›

What are the key steps in the data collection process?
  • Identify a business or research issue that needs to be addressed and set goals for the project.
  • Gather data requirements to answer the business question or deliver the research information.
  • Identify the data sets that can provide the desired information.

Top Articles
Latest Posts
Article information

Author: Mr. See Jast

Last Updated:

Views: 6239

Rating: 4.4 / 5 (75 voted)

Reviews: 90% of readers found this page helpful

Author information

Name: Mr. See Jast

Birthday: 1999-07-30

Address: 8409 Megan Mountain, New Mathew, MT 44997-8193

Phone: +5023589614038

Job: Chief Executive

Hobby: Leather crafting, Flag Football, Candle making, Flying, Poi, Gunsmithing, Swimming

Introduction: My name is Mr. See Jast, I am a open, jolly, gorgeous, courageous, inexpensive, friendly, homely person who loves writing and wants to share my knowledge and understanding with you.