Data review procedure showing define the research question and analyze data

Description:

The image shows a PowerPoint slide titled "Data Review Procedure," which maps out a structured approach to reviewing data as part of a research process. The steps are presented in a circular sequence, with each stage denoted by a number and an icon, emphasizing the cyclical nature of data review. The accompanying text with each icon indicates that the slide is fully customizable:

1. Define the Research Question (Icon: Magnifying Glass):

This is the starting point where the central question guiding the research is established.

2. Plan the Review (Icon: Gear/Cogwheel):

Represents the development of a strategy or methodology for conducting the review.

3. Research Data (Icon: Bar Chart):

Indicates the stage of collecting data necessary for the review.

4. Analyze Data (Icon: Line Chart):

Depicts the analysis phase where data is examined to extract insights.

5. Write the Review (Icon: Eye):

Suggests the final evaluation or examination of the data and analysis, culminating in a written report or review.

Use Cases:

Each stage is integral to the process, ensuring that research questions are answered comprehensively. The slide can be utilized across multiple industries:

1. Academic Institutions:

Use: Guiding students on conducting research projects.

Presenter: Academic Lecturer.

Audience: Students, researchers.

2. Pharmaceuticals:

Use: Outlining stages for new drug research and trials.

Presenter: Research Scientist.

Audience: R&D team, regulatory bodies.

3. Market Research Firms:

Use: Detailing the methodology for market analysis studies.

Presenter: Market Analyst.

Audience: Corporate clients, marketing departments.

4. Government Policy Think-Tanks:

Use: Structuring policy research and analysis procedures.

Presenter: Policy Advisor.

Audience: Government officials, public stakeholders.

5. Financial Services:

Use: Explaining the data review process for financial forecasting.

Presenter: Financial Analyst.

Audience: Investors, finance professionals.

6. Technology Companies:

Use: Demonstrating how product usage data is reviewed for improvements.

Presenter: Data Analyst.

Audience: Product teams, management.

7. Environmental Agencies:

Use: Presenting the framework for environmental impact data studies.

Presenter: Environmental Researcher.

Audience: Regulators, NGO representatives.