Lutz Bornmann: “Metrics Sonification as a New Way to Convey Bibliometric Data”

From a Leiden Madrtics Post by Lutz Bornmann:

When it comes to making sense of data, visualizations rule. But what about translating data into sound? This blog post explores the origins of ‘data sonification’ and its many applications in science and demonstrates how even bibliometric data can be turned into sound.

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So, what exactly is data sonification? At its core, it involves systematically mapping of data variables—such as temperature, population size, or chemical concentrations—to sound parameters like pitch, volume, tempo, or timbre. Unlike spoken language, which conveys explicit meaning, sonification relies on non-speech audio to evoke patterns or relationships within datasets. This approach leverages the auditory system’s unique strengths. Humans, for instance, excel at detecting subtle changes over time. A car mechanic may diagnose engine trouble from an irregular hum long before a dashboard warning light appears. Clinicians monitor patients’ vital signs through continuous auditory feedback, freeing their eyes for other tasks. For visually impaired researchers, sonification is more than a novelty—it’s a gateway to scientific participation. Jake Noel-Storr and Michelle Willebrands interviewed visually impaired researchers. Astronomers like Garry Foran use sonification tools to analyze astrophysical data, though skepticism persists among peers who still view sound as a “gimmick” rather than a legitimate analytical method.

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The future of data sonification may hinge on collaboration and innovation. Researchers advocate for empirical studies to validate its effectiveness in data analysis and reception of empirical results. Training programs could equip scientists and the public to “listen” to data as fluently as they read charts.

Learn More, Read the Complete Post + Video + Audio (about 1200 words)

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