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Tuesday, December 16, 2025

CRJ405 Advanced Seminar in Criminal Justice: Unit 3.1 DB: Data, POST University, September 2025

 

 CRJ405 Advanced Seminar in Criminal Justice: Unit 3.1 DB: Data


Collecting enough data to add information to research is crucial. For this discussion, please answer the following: 

When collecting data, what will be your measurement if you have too much or not enough data?  Why? 


I am a firm believer that a person can never have enough data or information when preparing a project because when there is more to choose from, you are able to pick and choose and focus your information better. I also believe in having information come from a variety of sources so that a wider view can be seen. For example, I prefer to have sources from government agencies, professional journalists, law firms and independent non-profit groups. I would prefer that all sources live in at least the same state, county or city as the subject.  

 

 

What questions will you ask yourself to make sure the data and information is appropriate for your target? 


I will check the dates of the articles to make sure they fall within the parameters of when the information is being studied. I will make sure that their sources of information can be verified and the sources are current from reliable sources.  

 

 

What questions will you ask yourself to make sure the data and information meet the criteria for your objectives and those of the stakeholder? 

 

To ensure data and information meet the criteria for objectives, you should ask yourself a series of questions across five critical phases: defining objectives, assessing data sources, validating and cleaning the data, analyzing the data, and interpreting the results. This process ensures the information is relevant, accurate, and aligned with your project's goals. 

Phase 1: Defining Objectives: 

These questions help establish a clear foundation for a project before any data is collected.  

What is the core business problem? Get to the root cause of the issue. 

What decisions will this data inform? Connect data analysis to outcomes. 

Who are the stakeholders? Identify everyone impacted by the data to understand their needs. 

How will success be measured? Define specific, measurable, achievable, relevant, and time-bound (SMART) goals and key performance indicators (KPIs) to track progress. 

 

Phase 2: Assessing Data Sources and Requirements 

This phase focuses on evaluating data sources and planning the collection process.  

What data already exists? Determine what is available internally or externally to save resources. 

Where does this information come from? Assess the reliability and credibility of each data source. Evaluate the author and potential biases for external data. 

Is there any potential bias? Evaluate if the data provider or collection method has an agenda that could influence findings. 

At what scale is this data needed? Consider the necessary geographic, temporal, and             other relevant scales to ensure the data covers the appropriate scope. 

Is the data usable? Consider the format, organization, and accessibility of the data. Is it structured or unstructured? Can it be accessed easily?

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