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15:45 - 16:45
Invited Paper Session
Room: GASP
Chair:
Michail Skaliotis, Eurostat, Luxembourg, (Email)
Discussant:
Juri Marcucci, Bank of Italy, Italy, (Email)
Organiser:
Piet DAAS, Statistics Netherlands, Netherlands, (Email)
IT Infrastructure for a Data Science Campus
Craig Pritchard, (Email)
Data Science Campus, Office for National Statistics, Newport
The modern economy provides both the challenge of measuring fast-evolving forms of economic activity, and the opportunity to exploit huge amounts of new data and information to help policymakers, researchers and businesses. The Data Science Campus (DSC) was created to respond to this challenge and acts as a hub for the whole of the UK public and private sectors to gain practical advantage from the increased investment in data science research and capability building. Our goal at the Data Science Campus is to explore how new data sources and data science techniques can improve our understanding of the UK’s economy, communities & people. To circumvent the users restrictions of a standard corporate network, The Data Science Campus have created an isolated Data Science Campus Network (DSCN) providing data scientists with the infrastructure, IT services and development tool sets required to research and develop the next generation of statistics. The DSCN provides a mechanism to ingest and process both structured and non-structured partner data by means of a Trusted Data Zone (TDZ) and as a result has led to various innovative projects.


Reference:
IPS11-003
Session:
Big Data infrastructures within NSIs
Presenter/s:
Craig Pritchard
Presentation type:
Oral presentation
Room:
GASP
Chair:
Michail Skaliotis, Eurostat, Luxembourg, (Email)
Date:
Thursday, 14 March
Time:
15:45 - 16:45
Session times:
15:45 - 16:45