ELDR Institute research is published when ready and when it addresses a question practitioners need answered. The pipeline below represents committed research in active development.
Practitioner-oriented research covering NIST AI RMF implementation, EU AI Act compliance for high-risk systems, and responsible AI governance frameworks for enterprise deployments.
Related Center →Applied research paper on enterprise API documentation standards — OpenAPI 3.1 adoption patterns, developer portal architecture, and API program governance documentation.
Comparative framework positioning DITA/XML, docs-as-code, and S1000D across regulated industry contexts — when each is appropriate and what governance requirements each approach must address.
Research on Zero Trust architecture implementation in regulated enterprise environments — implementation evidence requirements, NIST SP 800-207 alignment, and financial and federal institution documentation obligations.
Enterprise developer portal governance research — information architecture, version management, API lifecycle documentation, and onboarding standards that reduce integration support overhead.
Applied research on cloud governance documentation across AWS, Azure, and GCP — compliance-ready architecture patterns, control evidence frameworks, and multi-cloud documentation governance.
Original research on AI governance in healthcare — FDA SaMD guidance, HIPAA considerations for AI systems processing PHI, and ISO 13485 integration of AI risk management.
Research series on financial services governance documentation — DORA digital operational resilience, Basel IV documentation obligations, and FFIEC IT examination expectations for financial technology programs.
Applied research on enterprise architecture documentation governance — TOGAF documentation requirements, ERP implementation standards, and governance documentation for large-scale enterprise architecture programs.
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