Dataproof Your School

Richard Selfridge is a primary school teacher, data consultant and writer on education. His 2018 book for Sage Publications, Databusting for Schools, is an essential guide to the use and interpretation of education data. As well as teaching, working with schools on their use of education data and writing about education, Richard works as a consultant for the Driver Youth Trust supporting inclusion for literacy. A passionate advocate of sensible use of data in schools, Richard was part of ASCL's primary assessment expert panel alongside James, which indirectly lead to James and Richard working together as the Databusters, running workshops across the country and co-hosting the Databusters podcast. In his spare time, Richard can be found hunting follies, usually by bike, or playing, listening to, watching, talking, or thinking about music. He lives in Leeds with his wife Lindsay and daughters Martha and Connie. James Pembroke has 15 years' experience of working with education data, including five years working as a data analyst in a local authority school improvement team. He set up the Sig+ consultancy in 2014 to help schools across the country make sense of their data and has been tweeting, blogging, and talking on the subject ever since. James has worked with many organisations - notably as a member of ASCL's primary assessment expert panel and the Department for Education's Reception Baseline Stakeholder Group - and has spoken at numerous national conferences including the legendary Learning First events. He joined the team at Insight in 2018 where he continues to fight against zombie levels and advise schools on the rights and wrongs of tracking. When he's not working with data, James goes bouldering and runs up and down hills. He lives in Cheltenham with his wife Katy and daughters Martha and Rosa.

Chapter 1: An Introduction to Using Data in School Chapter 2: A Licence to Change Chapter 3: Generating and Collating High Quality Data Chapter 4: Standardised Tests Chapter 5: Teacher Assessment Chapter 6: Outliers Chapter 7: Tracking Systems Chapter 8: Developing a Data Strategy Chapter 9: Dataproofing in Action