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Category: Data

Winner winner vegan dinner! Twitter scraping as Q-Step interns

  • 24 November 2021

Julia Kasmire introduces the Q-Step programme, and undergraduate students May and Sima reflect on what they got out of their internships in the Computational Social Science team.

The UK Data Service at the NCRM Research Methods e-festival

  • 25 October 2021

We introduce some of the UK Data Service expertise being showcased as part of this week’s NCRM Research Methods e-festival.

Using GIS and spatial data to tackle real-world challenges

  • 18 October 2021

Nadia Kennar, Research Associate from the UK Data Service, explains the benefits of creating rich spatial data, and how GIS analysis can improve understanding of location-based problems and feed into better policy making.

Census 2021: Considering user needs for public, safeguarded, and secure data

  • 20 September 2021

Helena Rosiecka discusses Census 2021 data outputs. She also considers the importance of user needs, and how the Office for National Statistics is working to improve census data outputs.

How reading books helps me generate impact

  • 23 August 2021

David Kingman from HM Treasury discusses how reading books on R and Python has helped him achieve more impact from his work as a data scientist.

Why and what do we need to know about data pre-processing?

  • 18 August 2021

Anran Zhao discusses the importance and challenges of good data preparation.

The Smart Energy Research Lab – the next generation of energy research?

  • 5 July 2021

James O’Toole introduces the Smart Energy Research Lab – and its benefit to researchers.

Census 2021 Outputs: Hiding an elephant amongst all the hippopotamuses

  • 29 June 2021

Stephanie Blanchard introduces the Office for National Statistics’ approaches to ensuring individuals and households aren’t identifiable in the 2021 Census outputs.

The Fruits of Data Citation – new growth (2)

  • 26 May 2021

Dave Rawnsley and Chris Daly continue their exploration of usage of the UK Data Service’s international and census data, and how data citation can demonstrate how far data-enhanced research reaches.

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