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Benchmarking Open Government Data (OGD) Curriculum in Universities

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New Sustainable Horizons in Artificial Intelligence and Digital Solutions (I3E 2023)

Abstract

Whilst there is a need for furthering the engagement of the universities in imbibing the Open Government Data (OGD) curriculum in their graduate and postgraduate courses, there has been no systematic research focused on the identification of the qualitative benchmarking regarding the curriculum of OGD-focused academic programmes. Benchmarking the OGD curriculum with the adoption of best practices among the universities is pertinent given the significant role of the students and other faculty members in the value derivation and innovation pursuits in their current and futuristic capacities. Drawing inferences from the QS World University rankings, 2023, via the BEKA (benchmarking, evidencing, knowing, applying) analysis, this paper identifies the best practices in qualitative terms for furthering dialogue and discourse among the university stakeholders and others in the OGD ecosystem. Specifically, a detailed course structure is provided for OGD courses which may serve as benchmarks for further foundation-laying of OGD curriculum in different varsities. As a first contribution towards identification of the best practices in the OGD-focused curriculum designing, the study contributes towards OGD literature, in general, and the benchmarking practices in OGD-focused discourse, in specific.

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Notes

  1. 1.

    Universities filtered for the analysis are available at the github repository.

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Correspondence to Stuti Saxena .

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Papageorgiou, G. et al. (2023). Benchmarking Open Government Data (OGD) Curriculum in Universities. In: Janssen, M., et al. New Sustainable Horizons in Artificial Intelligence and Digital Solutions. I3E 2023. Lecture Notes in Computer Science, vol 14316. Springer, Cham. https://doi.org/10.1007/978-3-031-50040-4_10

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  • DOI: https://doi.org/10.1007/978-3-031-50040-4_10

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