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This paper analyses how three European countries produce and use data within a specific educational policy field, that of school leaving and graduation. It compares how stakeholders in England, Finland and the Netherlands know what happens to the leavers from schools and universities. Through gathering evidence about the methodological underpinnings of the school leavers' and graduates' information systems (SLGIS) and whose data needs they aim to satisfy, this research provides insight into the discrepancies of data production. Moreover, as stakeholders from the policy and the institutional level are represented to a different extent when SLGIS are set up, the utility of the resulting data in their work is of differing degrees. The paper models the problems of how SLGIS are set up and utilised, thus suggesting some of the possible solutions. Using this particular example, the paper highlights the discrepancies of data production and utilisation in terms of the focus, the timing, the methodology and sampling as well as the processes of dissemination. To provide a wider relevance, the paper outlines key issues around the utility of research evidence.

This paper addresses the entanglements of the earth's becoming in a multi site cross hemisphere study of the infinite moments of young children's world making, recorded in multimodal videos, still images, and children's productions. The postqualitative project was informed by new materialist and posthuman theorising. The researchers conducted their research at seven different early learning centres in NSW, Queensland, Victoria, and Finland. At the end of the project the researchers came together to make sense of the data across all sites and realised that their postqualitative data was BIG and that their 'little big data' was generated in the context of the increasing impact of 'big Big Data.' We discuss our approaches to posthuman and new materialist big data in order to create a conversation between the two and to highlight the alternative methodological processes we developed to make sense of large bodies of postqualitative data.