Dr. Adam Handelzalts is the managing director of the teacher education department at the Vrije Universiteit Amsterdam. His research and practice concentrates on initial teacher education and the continuing professional development of teachers throughout their career.

Hanadie Leusink, MSc. has a background in public administration and is working as a data team coach and coordinator for the Data team project. As a facilitator, she guides the data teams through the eight step data team® procedure: from the first steps (formulating a problem definition and hypothesis) to the final steps (analyzing data and implementing new measures to improve education).

Marije Meerdink, MSc. has a background in development and socialization in childhood and adolescence. She was working as a data team coach in the data team project and is now working as a quality care manager for a Dutch school board.

Dr. Johanna Ebbeler is a primary school teacher and educational scientist. She was a team member of the data team project. During her PhD research, she focused on the effects of data-based decisionmaking and on the role of school leaders in data teams.

Dr. Mireille D. Hubers isan assistant professor at the University of Twente, department of Educational Science. Her doctoral dissertation explored the ways in which educators built capacity within their school in order to sustain their data use. Mireille's research focuses on the ways in which organizations can sustain their improvement strategies through individual and organizational learning. She publishes and presents her work regularly, for example in the 2017 article "Share and succeed: the development of knowledge sharing and brokerage in data teams' network structures". In addition, she conducts practical workshops to support organizations (such as schools) in facing their sustainability challenge.

Presents one of the few interventions with regard to data use, proven to be effective

Describes an approach that can be used in a wide range of different contexts and countries

Provides the reader with concrete steps and examples

Includes supplementary material: [...]

Preface: Data teams can make a difference; Lorna Earl & Helen Timperley.- Introduction: Data use with the data team(TM) procedure.- Part 1: The eight steps of the data team(TM) procedure.- 1. Step 1: Defining the problem.- 2. Step 2: Drawing up hypotheses.- 3. Step 3: Collecting data.- 4. Step 4: Verifying the quality of collected data.- 5. Step 5: Data analysis.- 6. Step 6: Interpretation and conclusion.- 7. Step 7: Taking measures.- 8. Step 8: Evaluation.- Part 2: Two examples of the data team(TM) procedure: Graduation rates and English language results.- 9. Case study: High school graduation rates.- 10. Case study: English language results.- Part 3: Integration into the organization.- 11. Introducing the data team(TM) procedure in schools.- 12. The road to sustainability.- Acknowledgements.- References.