Financing and Scale-up of DPDP Governance of University Learning Analytics

Institutional governance of student telemetry and predictive educational modelling is undergoing fundamental structural shifts under emerging data privacy regimes. As higher education institutions deploy granular learning analytics to monitor student progression, academic retention, and pedagogical efficacy, the statutory mandate established by the Digital Personal Data Protection Act imposes rigorous responsibilities upon universities operating as Data Fiduciaries [1]. The statutory transition from unregulated institutional data aggregation to statutory compliance necessitates comprehensive legal, architectural, and financial re-engineering across academic administration [5].

The implementation of statutory obligations exposes critical operational tensions between advanced automated profiling and individual data sovereignty. The legal obligations governing clear consent, verifiable purpose specification, right to erasure, and mandatory technical safeguards such as cryptographic storage demand substantial ongoing administrative expenditure [1], [5]. University systems struggle to finance infrastructural upgrades, deploy interoperable consent management architectures, and maintain continuous forensic auditing without compromising academic innovation or incurring severe penalty exposures [3], [7].

Existing scholarship provides valuable comparative appraisals between national frameworks and international benchmarks such as the General Data Protection Regulation, yet institutional financing mechanisms and technical scale-up frameworks within higher education remain substantially underexplored [3], [6]. This investigation synthesises regulatory requirements, digital public infrastructure paradigms, and institutional financing models to formulate an operational framework for sustainable data governance in university learning analytics [6].

By evaluating the economic overheads of mandatory compliance alongside systemic integration pathways within the broader digital public infrastructure, this study establishes actionable pathways for higher education leadership [6], [7]. The analysis demonstrates how universities can achieve scalable, privacy-preserving analytical capability through optimised capital allocation, tiered compliance systems, and robust fiduciary oversight mechanisms [1], [5].