Uk Government Data Quality Hub

DataConnect23 Conference: 9,000 Sign Ups, 70 Sessions

The UK Government Data Quality Hub announces DataConnect23, an online data conference for the UK public sector scheduled for 25-29 September 2023. Following DataConnect22's success with over 9,000 sign-ups from 500+ organisations, this year's event aims to be bigger and better, featuring sessions on data linkage, quality assurance, coding, and best practices. A launch event is planned for 19 April 2023.

Launches Data Quality Assessment Courses for Government Professionals

The UK Government Data Quality Hub has launched two free online courses on assessing data quality for government data professionals. The introductory course covers concepts of data quality assessments and action plans, while the second course provides a structured method for designing and implementing data quality action plans with practical exercises.

DataConnect23 Online Conference: Public Sector Data, 25-29 Sep 2023

The UK Government Data Quality Hub announces DataConnect23, an online data conference running 25-29 September 2023. Co-organised with the Central Digital and Data Office, the event features over 100 sessions covering topics including ChatGPT, data ethics, data sharing, and workforce planning. The conference is open to anyone with an interest in UK public sector data.

Government Data Quality Community Launches for Public Sector Data Professionals

The UK Government Data Quality Hub announces the Government Data Quality Community, a networking group launched in 2022 for public sector data professionals. The community holds virtual meetups every two months covering data quality themes and monthly Coffee Connect sessions. UK government and public sector organisations interested in data quality are invited to join by contacting dqhub@ons.gov.uk.

Challenging Assumption-Based Design Guidance for Social Researchers

The Government Data Quality Hub (DQHub) has published guidance including posters and accompanying materials to help social researchers identify, challenge, and reframe assumption-based statements during product and service design. The guidance introduces 'red flag' and 'green flag' statements to distinguish between decisions based on opinion versus evidence. The materials promote user-centred and respondent-centred design approaches to improve data quality and fitness-for-purpose from the outset.