# Wise Data: A Novel Approach in Data Science from a Network Science Perspective

## TL;DR

This paper introduces a novel network-based model in data science that helps analyze the uniqueness and importance of data pieces by modeling data as a network and studying its properties.

## Contribution

The paper presents a new approach that combines data science and network science to model data as networks and analyze their characteristics.

## Key findings

- Model effectively captures data uniqueness and importance.
- Provides insights into data quality through network analysis.
- Enables deep study of data relationships and characteristics.

## Abstract

Human beings have been generating data since very long times ago. We ask the following common-sense and wise questions (WizQuestions): 1. Why do we refer to some pieces of data more often than referring to other pieces? 2. What does make those commonly-referred pieces of data so unique and different? 3. What are the characteristics of data that sometimes make the data so unique and different? In this article, we introduce a novel approach (model) that helps us answer these questions from data science and network science perspectives. WizWordily speaking, our proposed approach enables us to model the data (as a network), measure the quality of data, and study the network of data deeply and thoroughly.