As DataFest18 prepares to launch next week, the Dundee Public Data Hack will be held at Whitespace in Abertay University this weekend (17-18 March). It is one of more than 40 fringe events showcasing how data can be used for the benefit of business and citizens.

The hack is being run by Wittin, Abertay University and Dundee City Council, and will focus on key uses of public data.

“It’s brilliant to be able to extend the DataFest reach to Dundee, allowing us to promote the benefits of data-driven problem solving further than ever before,” said Data Lab’s chief executive Gillian Docherty. “The sheer number of events taking place showcases Scotland’s place as a burgeoning centre for data on a global scale.

“DataFest18 is all about collaboration. We believe that interaction between different industry sectors and disciplines, academics, data practitioners, students, public sector, and business specialists is a key element towards data driven innovation.”

Matthew Davis, from Wittin, said: “We’re going to get an exclusive look at some of Dundee’s public data, and we’ll get a crack at understanding and perhaps solving a few problems to boot.” Ruth Falconer from Abertay University, added: “We are looking forward to hosting this event and seeing what ideas emerge.”

Earlier this week, the final in a series of three data challenges was launched (challenge one here and challenge two here); focusing on building maintenance sensor data from Dundee City Council.

“So, temperature, lights and anything else we can get our hands on before the big day will be available,” said Davis. “The aim of the challenge is to build pictures and ideas of what the sensors can tell us about use of and life within the buildings the council maintains.”

DataFest18 is the second data festival hosted by The Data Lab, following on from the success of last year’s inaugural event. DataFest18 underlines Scotland’s strengthening position within the international data landscape given the support and talent being nurtured.

The Data Lab empowers industry, public sector and world-class universities to harness data, and generate its economic, scientific and social benefits.