Items where Author is "Walker, Johanna"

Resource

1. 
   Data Pitch: Data-driven innovation programme

   Data Pitch is a €7m EU-funded open innovation project bringing together corporates and public sector organisations that have data, with startups and SMEs working with data. Data can be reused and repurposed in multiple ways to solve specific challenges. Data from organisations has the potential to create huge value for private and public sector organisations but often only a small percentage of this is exploited. There are many SMEs and startups across Europe that are building innovative solutions using data and new technologies. Many of them struggle to get access to data from public and private sector organisations to develop real-case pilot projects. Data Pitch bridges the gap that these two groups face, supporting them throughout the process, reducing risk and providing the necessary expertise and credibility. In this seminar we will outline the approach to innovation with shared data taken by Data Pitch, and describe some of the issues that have arisen in data sharing, especially with regards to personal data and business use-cases, and how we have addressed them.

   
   Shared with the University by

   Ms Amber Bu
2. 
   User-Centred Methods for Measuring the Value of Open Data

   A project to identify metrics for assessing the quality of open data based on the needs of small voluntary sector organisations in the UK and India. For this project we assumed the purpose of open data metrics is to determine the value of a group of open datasets to a defined community of users. We adopted a much more user-centred approach than most open data research using small structured workshops to identify users’ key problems and then working from those problems to understand how open data can help address them and the key attributes of the data if it is to be successful. We then piloted different metrics that might be used to measure the presence of those attributes. The result was six metrics that we assessed for validity, reliability, discrimination, transferability and comparability. This user-centred approach to open data research highlighted some fundamental issues with expanding the use of open data from its enthusiast base.

   
   Shared with the University by

   Mr Roushdat Elaheebocus
3. 

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   Open Data Innovation
   Shared with the World by

   Prof Leslie Carr