Dataseed - Flying Data



What if objects could represent in a physical way the key properties of data?
Would we understand complex data better if we could manipulate it?




There is concerted effort to make available to the public large amount of public and open data.

With dataseeds we explore the perspective of accessibility in terms of not just of how easy or difficult it might be to find and access data, but also how a non-specialist audience is able to read, comprehend and make sense of these data-sets in a meaningful way.

Dataseeds is a case-study on making health data that are publicly available accessible, shareable, and   meaningful. 




Dataseeds are a reinterpretation of NHS data on ‘falls on and from stairs and steps, aged 50-89’


The data drives the surface area of the wing of the dataseed, which dictates the spin and falling speed of the data-object. The dataseeds are a new example of the data-objects concept that uses contemporary fabrication methods to translate complex digital data into physical objects.
These physical objects, in turn, can be used to aid understanding and stimulate conversation around complex digital-data. Each data-object is designed with a specific dataset and audience in mind. Our experiemnts have shown that data-objects are particularly effective for communicating with non-specialist audiences.







Project dates
2017 

Publications


Gwilt, I. and Dulake, N. (2017) Flying with data: Openness, forms and understanding. The Design Journal, 20 (Sup 1), S3863-S3872.
downloadable

Research by


Nick Dulake
Partners & Stakeholders
NHS
(data source)
Funders
ADRC




Sitemap   Contact
Digital Materiality Lab
Sheffield Hallam University
Cantor Building, 153 Arundel Street
Sheffield, S1 2NU, UK
Phone 0114 225 3757