The objective of this study was to identify common MOFs across different selection strategies, described as the key structures for predictive modeling, with a specific focus on methane (CH₄) adsorption. By constructing a methodology that integrates multiple methods, we aimed to generate a core set of representative MOFs capable of serving as a reliable foundation for accurate property prediction. CH4 adsorption was selected as a case study due to its relevance in energy storage applications, providing an ideal context for evaluating the robustness and efficiency of various MOF selection strategies.