Certainly! Here are definitions for data, models, and evidence:
Data
Data refers to raw facts, figures, or information that are collected for analysis. It can exist in various forms, such as numbers, text, images, or sounds, and is often the starting point for research and analysis. Data can be quantitative (numerical) or qualitative (descriptive) and is used to identify patterns, trends, or correlations within research or during decision-making processes.
Models
Models are representations or abstractions of reality that simplify complex systems or phenomena to enable better understanding, analysis, or prediction. They can take many forms, including mathematical equations, simulations, diagrams, or conceptual frameworks. Models allow researchers and practitioners to explore relationships between variables, make predictions, or test hypotheses by illustrating how different factors interact within the system being studied.
Evidence
Evidence refers to the information or data that supports a claim, conclusion, or decision. It is derived from observations, experiments, or research outcomes and is used to establish or validate hypotheses, theories, or arguments. Evidence is critical in scientific inquiry and decision-making processes as it provides a basis for evaluating the reliability and validity of assertions. It can be empirical (based on observation or experiment) or theoretical (based on logical reasoning or established principles).
These definitions articulate how data, models, and evidence interrelate in the processes of research, analysis, and decision-making.