Working in collaboration with the Birmingham Centre for Railway Research and Education (BCRRE), Zipabout has created the largest single source of data for railway operations in the UK and internationally. The UKRRIN Data Platform holds both historic and real-time data and provides researchers and innovators with a significant resource from which the digital solutions that will transform the rail industry in the future can be developed.
The Data Platform was launched at the Birmingham Centre for Railway Research and Education (BCRRE) event earlier in March, which was attended by 250 delegates. The event was the first of its kind, and focused on questions, concerns and barriers around accessing and applying data and what it means to digitise the railway and the impact of this on industry.
The platform provides a real opportunity for users to connect complementary datasets and, by doing so, unlock deeper insights into this data for the benefit of the rail industry.
The data itself comes from a variety of sources, e.g. trains, trackside sensors and infrastructure assets, as well as other railway sources, allowing UKRRIN’s partners to explore and analyse their real-time and historic data, leverage big data technologies and use the platform’s in-built data science capability.
Daniel Chick, our Chief Technical Officer and co-founder, had this to say on the project: “The UKRRIN Data Platform presents a unique opportunity for academia and the industry and to come together and harness the power of big data in rail. As a strategic technology partner, we believe this new approach to secure data sharing across industry will massively increase the efficiency and reduce time to market for innovative research and development in the UK rail sector.
“We are proud that our platform has been selected to support one of the largest single sources of data for rail research, and are excited to see the positive results that will be delivered through this new approach to secure data sharing across the industry”.
The platform, which is supported by Kx, a leading time-series data analysis platform used widely in the financial sector, allows researchers to focus on the creation of bespoke applications deployed directly onto the platform, saving them valuable time and resources previously required to deploy and manage real-time and historic big-data sources.
Read the article on UKRRIN’s website