✅ Legitimate Data Collection Methods:
Opt-in Forms & Landing Pages:
Users voluntarily fill out a form in exchange for a resource (e.g., eBook, free trial, webinar). This is permission-based and highly reliable.
Surveys & Polls:
Leads are gathered through online surveys where users share their contact info and preferences. Data may include industry, job title, budget, etc.
Partnerships & Co-Registration:
Data is collected through affiliate or media partners during content downloads or registrations. These must be transparently disclosed to the user.
Publicly Available Sources:
Some providers use public directories (e.g., company websites, LinkedIn, Yellow Pages) and aggregate that information. This is common for B2B leads.
Event & Webinar Signups:
Leads are gathered during industry events, trade shows, or webinars. These can be highly targeted if the topic aligns with your business.
Third-Party Data Vendors:
Reputable vendors gather and verify data from multiple compliant sources. Always ask if the data is GDPR/CCPA compliant and when it was last updated.
⚠️ Red Flags to Avoid:
Scraped data without consent from LinkedIn, Facebook, or websites — this is often illegal and low-quality.
Old or outdated lists that haven’t been verified or updated recently.
No disclosure of opt-in method—if they can’t explain how the lead was captured, be cautious.
✅ Key Questions to Ask the Vendor:
Was this data collected via opt-in or cold scraping?
When was the last time this data was updated or verified?
Are users aware their data is being resold or shared?
Data that is collected may have been collected previously for some reason, or it might have been collected recently. Data is usually collected to show statistics or information about something specific.
The collected data is organized in a fashion so you can determine if the hypothesis is supported.
data collected over several time periods is what type of data?
Secondary data is collected by someone other than the researcher, such as census information. Primary data is collected first hand, such as interviews.
Which is an example of a study that is based on a secondary analysis? A. Collecting data by surveying people B. Collecting data by interviewing people C. Analyzing data collected by others D. Analyzing data collected over a period of a year Apex-Teddi
The data collected does not have to be measurable.
Data that is collected may have been collected previously for some reason, or it might have been collected recently. Data is usually collected to show statistics or information about something specific.
The collected data is organized in a fashion so you can determine if the hypothesis is supported.
In continuous grouped data the data is collected continuously and in groups. Data collected is in class intervals the actual data values are not visible.
You may be thinking of 'anomaly'.
Calculations or comparisons made using the collected data
how is data collected and used for the purpose of national statistics
📌 Primary Data Definition: Data collected directly from the source for a specific research purpose. Examples: Surveys or questionnaires Interviews (face-to-face, phone, online) Observations or experiments Focus groups Field research Key Features: Collected firsthand Original and specific to your goals Usually more accurate and current Time-consuming and costly to gather 📌 Secondary Data Definition: Data that has already been collected by someone else for a different purpose, but is reused for your research. Examples: Government reports (e.g., census data) Academic journals or research papers Business databases and market research reports News articles or publications Company annual reports or case studies Key Features: Pre-existing data Faster and cheaper to access May not be tailored to your specific needs Might be outdated or biased
Primary data is data that is collected by the researcher. Secondary data is information that has been collected by someone other than the user.
data collected over several time periods is what type of data?
Summarizing collected data into table
Data research procedure include information on how data is collected, when it was collected, and who is responsible for data collection. Where data was stored and how to ensure data is correct are also part of data research procedure.