Children, Technology and Play – Family Case Studies Audio transcriptions
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
The Family Case Studies Audio Transcriptions dataset forms part of Children, Technology and Play (2019-2020), an 8-month co-produced study by academics from the University of Sheffield and University of Cape Town, South Africa, the LEGO Foundation and Dubit.
The study explored the contemporary play environments of children to identify the ways in which their play is shaped by technology, examine the relationship between digital play, learning and creativity, and explore the role of adults in mediating digital play.
The UK research included case studies of 10 families in Sheffield with focus children aged 3-11. Each was visited 6 times at home and a range of qualitative data collection methods was employed.
This dataset comprises the transcriptions of audio interviews with the famiiles, the teachers of the focus child/children and the leaders of out-of-school clubs they attended, plus a spreadsheet containing relevant metadata. Personal and school names have been pseudonymised.
The project received ethical approval from the University of Sheffield (no. 028701).
The research tools and other datasets from the study are deposited elsewhere in ORDA and have been brought together in the Children, Technology and Play collection.
The LEGO Foundation
EthicsThe project has ethical approval and have included the number in the description field
PolicyThe data complies with the institution and funders' policies on access and sharing
Sharing and access restrictionsThe data can be shared openly
- The file formats are open or commonly used
Methodology, headings and units
- There is a readme.txt file describing the methodology, headings and units