Playbook

Academic partnership due diligence

Academic partnership due diligence translates regulatory requirements into operational decisions about who to collaborate with, and under what conditions.

Operations7 minGrant and compliance teams

Key takeaways

  • Due diligence starts with intake quality and entity clarity.
  • Evidence should be documented in a way legal, leadership, and grant teams can review.
  • Escalation works best when the screening record is concise and cited.

Why due diligence matters for research partnerships

Research partnerships are built on trust. But trust must be verified, not assumed. International collaborations create exposure to regulatory compliance risks, institutional reputation risks, and in some cases national security concerns.

In Canada, the NSGRP requires universities to assess potential risks when partnering with foreign entities on federally funded research. The STRAC policy adds specific restrictions for research involving sensitive technology areas.

Similar frameworks are emerging in the United Kingdom, the Netherlands, Australia, and through NSPM-33 in the United States.

Beyond regulatory compliance, due diligence protects the integrity of the research itself. Partnerships with entities that have undisclosed military affiliations or connections to sanctioned organizations can compromise research outcomes, intellectual property, and institutional standing.

The due diligence process for academic collaborations

A structured due diligence process for academic partnerships typically follows four phases.

1. Information gathering

Collect identifying information about the prospective collaborator: full name, institutional affiliation, ORCID, research area, publication history, and the nature of the proposed collaboration. For institutional partnerships, gather information about the partner organization, its governance structure, and any parent entities.

2. Identity resolution and verification

Confirm the identity of the individual or institution through cross-referencing academic databases, institutional registries, and public records. This prevents false matches and ensures subsequent checks apply to the correct entity.

3. Multi-source risk assessment

Screen against sanctions lists, analyze co-publication networks for concerning affiliations, check adverse media and legal databases, and verify institutional claims. Each data source adds a layer of context that others may miss.

4. Documentation and decision

Compile findings into a structured report that documents what was checked, what was found, and what limitations exist in the assessment. This report supports the institutional decision and provides an auditable record.

Common red flags in research partnerships

Not every flag means a partnership should be rejected. But each one warrants closer examination and documentation.

  • Named Research Organization affiliations: co-authors or partner institutions connected to listed entities require careful evaluation.
  • Undisclosed military institutional affiliations: dual affiliations are not inherently problematic but must be disclosed and assessed.
  • Publications in defense or military journals: these may indicate affiliations not reflected in formal institutional records.
  • Suspicious funding patterns: undisclosed foreign funding, funding linked to sanctioned governments, or patterns that suggest talent recruitment programs.
  • Rapid institutional mobility: frequent moves between institutions in high-risk contexts can indicate connections that merit further investigation.

Tools for academic partnership screening

Manual due diligence is thorough but slow, inconsistent across analysts, and difficult to audit. Institutions processing dozens or hundreds of partnerships per year need scalable approaches.

Automated screening platforms designed for academic contexts combine identity resolution, sanctions screening, co-publication analysis, and adverse media checks into a single workflow. The strongest tools produce reports where every finding is linked to its source, confidence level, and known limitations.

When choosing a tool, prioritize transparency of methodology, academic-specific identity resolution, breadth of data coverage, and defensibility of output.

FAQ

What is academic partnership due diligence?

Academic partnership due diligence is the process of evaluating potential research collaborators and partner institutions for compliance, security, and integrity risks before formalizing a partnership. It includes sanctions screening, affiliation verification, publication network analysis, and adverse media checks.

When should universities conduct due diligence on research partners?

Due diligence should be conducted before signing collaboration agreements, applying for joint funding, hosting visiting researchers, and entering technology transfer or IP-sharing arrangements. In Canada, the NSGRP requires risk assessment for federally funded international research partnerships.

What are the most common red flags in research partnerships?

Common red flags include co-authors affiliated with Named Research Organizations, undisclosed military or defense institutional affiliations, publications in military or defense journals, unusual funding patterns, undisclosed foreign funding sources, and rapid institutional mobility across sensitive jurisdictions.

How is academic due diligence different from corporate due diligence?

Academic due diligence must account for factors unique to research: co-publication networks, academic identity resolution, institutional hierarchies, and the distinction between fundamental and sensitive research areas.

What happens if a university skips due diligence on a research partner?

Consequences can include loss of federal research funding eligibility, sanctions exposure, reputational damage, compromise of sensitive research or intellectual property, and potential national security implications.

Can due diligence be automated for academic partnerships?

Parts of the workflow can be automated, including source collection, identity resolution, sanctions checks, co-publication analysis, and adverse signal review. Automation should support human review, not replace the institutional decision.

Explore the full Tracer resource library for more research security guides.

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