< Project Overview >
The issue of IoT data de-cluttering has been identified as a critical issue across university and industry partners. Questions surround how will supplied data from IoT devices be made available for consumption in a way that is reliable and repeatable and how can stakeholders ensure data is producing the required results.
The main aim of this project is to identify methods to significantly improve understanding how IoT (anomalous, dirty, even corrupt) sensor data can reliably be integrated into system decision-making processes.
This project seeks to bring together and share global best practices across industry and academia, reporting outputs that identify best practice approaches from both within and outside the consortium in order to underpin how data from multiple IoT devices can link to system decision making.
Professor David Wallom – University of Oxford
- The University of Oxford
- The University of Sheffield
- The University of Newcastle
The project will also utilise existing networks to work with several different stakeholder groups in both research and industry.