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On behalf of 'Doorpakken op digitalisering' and 'SURF', Dialogic has carried out an exploration into the possibilities, conditions, and potential partners for an infrastructure for managing student data. Educational institutions and service providers gather a significant amount of data on students, ranging from data generated through teaching activities such as data from (digital) learning materials, to processes supporting education such as administrative data, educational evaluations, and enrollment and progression data. The figure below provides a schematic overview with examples of student data:
[Image](https://www.dialogic.nl/wp-content/uploads/2023/02/figuur-studiedata.png)
The GDPR essentially grants students certain rights regarding their student data, but these legal frameworks do not guarantee that the use of student data always aligns with ethical standards. Therefore, it is desirable to provide students with more control over their data, allowing them insight and control over the processing of personal data within the educational process. An infrastructure could offer a practical solution to facilitate student control over this data. This would also be beneficial for educational institutions as it would empower them to make responsible use of personal data in improving the educational process. Additionally, market parties could benefit from such infrastructure as it offers a generic solution for establishing control.
The research has shown that an infrastructure could facilitate the registration and exchange of the basis and consent for the use of student data. It has also revealed that educational institutions lack complete oversight of the processing of student data. Therefore, the starting point for further developments in managing student data is to ensure the 'processing register' is kept up-to-date.
For potential follow-up actions towards an infrastructure for managing student data, two key points have been identified:
1. **Pay attention to the needs and added value for vocational education, higher education, universities, and service providers**. An infrastructure essentially consists of a framework of agreements regarding the scope and method of data exchange, and a technical system for its implementation. It is crucial that public-private collaboration across all educational sectors is ensured within this framework.
2. **Explore pilots for exchanging student data for which there is no legal basis for processing**. Current initiatives (and pilots) mainly focus on use cases where student data is exchanged with a legal processing basis. To drive more experiments involving different types of data sources and use cases (including learning analytics), it is important to explicitly design pilots for student data where there is no legal basis for processing.
Would you like to learn more about this research? Download the report [here](https://mbodigitaal.nl/2023/01/verkenning-regie-op-studiedata-door-studenten-gepubliceerd/) or get in touch with [Max Kemman](https://www.dialogic.nl/medewerkers/max-kemman).
