Data sonification translates data into sound so that patterns, relationships and changes can be perceived through listening.
Climate records, political speech, migration data, environmental measurements or visitor behaviour can shape rhythm, pitch, timbre, density, musical structure or spatial movement. In exhibitions and installations, the aim is not simply to make numbers audible. It is to create a listening situation in which data becomes perceptible over time and, where relevant, across space.
Every sonification is an interpretation. Decisions about which data to use, how to map it and how strongly it should affect the sound determine what listeners can perceive.
A dataset contains values, relationships and changes. Sonification connects these elements to audible parameters. A rising value might increase pitch. Repetition might become rhythm. Several simultaneous processes might form layers of different timbres. Location data might determine where sound appears in a room. Visitor movement might change the behaviour of an interactive composition.
The result does not have to be musical. It can be abstract, atmospheric, spatial, functional or compositional. What matters is that the relationship between data and sound has a clear purpose.
Sonification can be particularly useful when the data describes a process: something that accumulates, moves, fluctuates, accelerates, disappears or changes over time. Sound makes such developments perceptible as temporal events rather than static information.
Data is often treated as something to be read.
Sound allows it to be experienced differently. A pattern can repeat, shift, accumulate or disappear. A small change can become a transition. A large system can become a rhythm that visitors follow physically.
In spatial contexts, sonification can work together with image, light, architecture and interaction. It can support understanding without turning the experience into explanation.
The value lies in making the invisible perceptible, while keeping the data connected to atmosphere, movement and meaning.
A meaningful sonification does not begin by assigning every data column to a sound parameter. It begins by deciding what the audience should be able to perceive.
1. Define the perceptual question
What relationship should become audible?
The relevant subject might be a long-term transformation, a recurring pattern, a contrast between datasets, the behaviour of a system or the effect of individual actions.
This question determines which parts of the data matter.
2. Understand and select the data
Datasets are not self-explanatory. Their origin, scale, resolution and limitations affect how they can be interpreted.
Not every available value needs to become sound. Selecting a smaller number of meaningful relationships often produces a clearer listening experience than translating an entire dataset.
3. Design the mapping
The mapping defines how the selected data affects the sound.
Values may control:
A mapping should be conceptually meaningful and perceptually legible. A technically precise relationship is of little value if listeners cannot recognise its effect.
4. Determine the sonic behaviour
Data can produce a fixed composition, continuously change a generative system or respond to live input.
This decision affects how the work unfolds. A historical dataset may become a composed sequence. Environmental measurements may shape a long-duration soundscape. Visitor movement may influence an interactive system in real time.
5. Test the listening context
A mapping that works in the studio may behave differently in an exhibition, public space or multichannel installation.
The result must therefore be tested in relation to the room, playback system, visitor route, other media and expected listening time. The final question is not only whether the data is audible, but whether its role within the experience is understandable.
Data sonification is closely connected to sound scenography because data only becomes meaningful in space when it is given a role within the experience. Sonification defines how data becomes sound; sound scenography defines where that sound belongs, how it unfolds and how it relates to architecture, media, movement and attention.
In exhibitions and installations, this relationship can take different forms. Data may shape generative sound over time, become part of a spatial score across rooms and visitor paths, or support a larger sonic dramaturgy by giving emotional weight to a hidden process. The important question is not only how the data is translated, but what the translation allows visitors to perceive.
A sonified layer may guide visitors through a complex subject, reveal a pattern that would otherwise remain abstract, or connect individual moments into a larger spatial narrative. In this sense, data sonification often works together with sound scenography, generative sound, spatial audio and interactive sound.
In an exhibition, data should not simply be present. It should have a role. It may guide visitors through a complex subject, give emotional weight to a hidden process, or connect individual moments into a larger spatial narrative.
Related practices include sound scenography, generative sound, spatial audio and interactive sound.
Examples of data sonification in our work include:
Emotional and linguistic data from political speech becomes sound and light. The installation reveals how language carries affect, intensity and distortion, turning speech analysis into a spatial audiovisual experience.
Climate data reshapes Vivaldi's Four Seasons. Environmental datasets influence timing, musical structure and material, making ecological change audible through a familiar musical reference.
Environmental data from the marine research station in Kerteminde becomes the basis for a four-hour multichannel soundscape. The underwater tunnel is shaped by data recorded near the site.
Migration and climate data inform a generative sound work for THE HERDS. Movement, distance and ecological displacement are translated into a living musical system.
River behaviour becomes an audiovisual composition. Machine learning and generative sound translate flow, erosion and sediment patterns into music that changes with the movement of the visual system.
Swarm behaviour shapes an interactive sound environment. Visitor movement and collective patterns influence sonic intensity, alignment and disruption inside the installation.
We begin by defining what the data should make perceptible. A dataset may need to reveal a pattern, a movement, a contrast, an accumulation, a disruption or a change over time.
From there, the sound can be designed as a direct translation, a compositional structure, a spatial system or a generative behaviour. This work can include data analysis, mapping strategies, composition, spatial audio, interaction design, generative systems and on-site tuning.
The goal is not to sonify everything. The goal is to make the relevant relationship audible in a way that can be felt, followed and understood.
For broader reflections on data as poetic and experiential material, read Thoughts on the Poetry of Data and The Symphony of Our World.
What is data sonification?
Data sonification is the translation of data into sound. Values and relationships within a dataset can shape rhythm, pitch, harmony, texture, dynamics or spatial movement.
Why use sound for data?
Sound unfolds over time. It can make change, repetition, intensity and relationships perceptible in a way that complements visualisation.
Where is data sonification used?
Data sonification can be used in exhibitions, installations, research communication, climate narratives, public spaces, interfaces and generative artworks.
Is data sonification always musical?
No. It can be musical, atmospheric, abstract, spatial or functional, depending on the project and the role the data should play.
How does data sonification relate to sound scenography?
Data sonification translates information into sound. Sound scenography places that sound within a spatial and dramaturgical experience, so it becomes part of how visitors perceive and understand the space.
Working with data, systems, or complex information?
We design sound that transforms data into spatial and emotional experience.
