Leveraging Hydrogeologic‐Based Data—Reduce, Repurpose, Reimagine.

This article discusses the importance of utilizing hydrogeologic-focused data for various environmental, water resources, and remediation projects. It highlights the underutilization of big data sets and the need to transform and analyze this data to develop more robust conceptual site models. The article also explores the challenges of data management and the potential of artificial intelligence tools to enhance data-driven interpretations. It provides examples of hydrogeologic-based data sets and tools that facilitate data processing and analysis. The article concludes by emphasizing the significance of centralizing and streamlining data management efforts to improve efficiency and workflows. It also introduces several tools, such as the Low-Flow Drawdown Tool (LFDT), the Sieve to Hydraulic Conductivity (K) Tool (SKT), and the AiSieve application, which aim to analyze hydrogeologic data more efficiently and accurately. These tools contribute to centralizing and managing big data, improving efficiency, and providing comprehensive insights into hydrogeologic systems. [Extracted from the article]