An Inclusive Ontological Breakdown of Data Analysis

Key Points

• Data analysis requires a diverse range of ontological frameworks to ensure thorough understanding.
• Key frameworks identified include various methodological approaches and statistical models used in data interpretation.
• Assessment includes examining how different interpretation mechanisms influence data outcomes across fields.
• This work highlights the necessity for inclusive frameworks to enhance clarity and accuracy in data analysis.