Space science data analysis historically relies heavily on visual methods, although most data originates from invisible parts of the electromagnetic spectrum. This restricts studying the unknown based on screen resolution limitations and excludes those with visual impairments. To address challenges facing persons with disabilities in research, education and careers, this investigation aims to create novel data access approaches prioritizing accessibility and inclusive design principles. It has been demonstrated that multimodal perception (the use of more than one sense) can be a valuable complement to visual exploration and understanding of complex scientific data, particularly in the case of astrophysical data, which are composed of a combination of different oscillatory modes resulting in a complex array of final data. This proposal focuses on the human ability to adapt to data and interact with sound to analyze data sets and develop an application aimed at leveling the playing field for accessing information in the fields of astronomy and astrophysics for individuals with disabilities. Furthermore, it advocates for the study of scientific and technological capabilities for the development of tools with an innovative, user-centered approach, addressing specific social problems, utilizing open-source programming languages, and designing infrastructure to enhance inclusion.
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