Every framework for measuring university commercialisation performance (including the PIPE University IP Index) is built on data that has a structural blind spot. The data captures what reaches institutions' Technology Transfer Offices. It does not capture what does not.
The question of how large that blind spot is, and what drives it, has a substantial and surprisingly consistent answer in the academic literature. The phenomenon has an informal name: invention dark matter: commercially viable research that exists within universities but is invisible to the measurement systems designed to capture it.
What the Evidence Shows
There are two distinct mechanisms by which commercially viable research bypasses the TTO, and both are well-evidenced.
Mechanism 1: Deliberate bypass
Research using data from a large European public research organisation found that academics in physical and life sciences, those with doctoral degrees, and those with extensive industry interaction experience are all more likely to route their IP outside the TTO (Goel & Göktepe-Hultén, Journal of Technology Transfer, 2018). The pattern is not random. It is concentrated precisely among the researchers most likely to generate commercially valuable inventions. Industry consulting arrangements and collaborative research agreements frequently result in IP being filed by the industry partner as lead applicant, which does not appear in HESA data at all.
A survey of academic inventors found that 42% have bypassed their TTO at least once, citing too many barriers and disadvantages. More striking is the parallel finding from TTO managers at US universities, who estimate that fewer than half of patentable inventions with commercial potential are ever disclosed to the TTO. TTO managers themselves believe the majority of their institution's commercially patentable research never reaches them.
Mechanism 2: Unintentional bypass and the TTO awareness gap
A study of 3,250 researchers across 24 European universities found that only a minority were aware of the existence of a TTO at their institution (Huyghe, Knockaert, Piva & Wright, Small Business Economics, 2016). TTO awareness was higher among researchers with entrepreneurial experience or industry contacts, and correspondingly low among those without. The researchers least likely to know the TTO exists are precisely those who have never engaged with commercialisation before. This is a self-reinforcing gap: the TTO reaches those already engaged, not those it most needs to reach.
What This Means for HESA Data
The UK's primary data source for university IP activity, the HESA Higher Education Business and Community Interaction (HE-BCI) survey, captures patents where the university or TTO is named as the applicant. It does not capture patents filed by researchers independently, or by industry partners as lead applicants on research arising from university collaboration. The HESA figure is not "all patents arising from university research": it is "patents where the university is the named applicant." These are genuinely different populations.
There is a further pathway for IP loss that no reporting framework currently captures. UKRI advises that grant applications are confidential and should not count as public disclosure. But once a grant is funded, abstracts are published on the UKRI database. A researcher who develops commercially valuable findings under a published grant and then publishes their results has effectively publicly disclosed the invention, potentially closing the patent protection window without the TTO ever having known the invention existed.
The Implication for Commercialisation Metrics
Any index that uses HESA-derived or TTO-reported data as its calibration anchor is calibrating against observed disclosure, not actual IP generation. The gap between the two is not a model error. It is the disclosure gap itself.
This reframes what "friction" means in commercialisation performance measurement. The standard interpretation is that friction represents TTO capacity failure: ideas that reached the TTO and were not acted on. But if fewer than half of commercially patentable inventions are ever disclosed, a substantial portion of what appears as friction is not pipeline failure at all. It is ideas that never entered the pipeline.
"The TTO's throughput problem may be less severe than it appears. The disclosure problem may be far worse. These are different problems requiring different solutions."
Two Problems, Two Different Levers
Improving TTO capacity and process (faster triage, more associates, better pipeline management) addresses the throughput problem. It does nothing for the disclosure problem. Improving disclosure rates requires different interventions:
- Active engagement programmes that bring TTO staff into departments rather than waiting for researchers to approach them.
- Embedded research liaison roles: faculty-facing individuals whose primary job is identifying commercially viable research before it is published.
- Simplified disclosure processes that reduce the administrative burden which deters first-time engagers.
- Pre-grant IP review: working with research offices to screen grant applications for patentable findings before they are funded and published.
- Cultural framing that presents commercialisation as complementary to publication rather than in tension with it.
None of these are new ideas. What is new is the evidence that the disclosure gap may be larger than the throughput gap. Conflating the two leads to misdiagnosed problems and misallocated solutions.
Why This Strengthens Rather Than Weakens the Case for Measurement
It might seem that a structural blind spot in the underlying data undermines the value of any commercialisation index. If the data is systematically incomplete, what is the point of ranking institutions on it?
The answer is that ranking on observed disclosure, even incomplete disclosure, is still informative. An institution that performs well on observed metrics despite the same structural constraints as its peers is genuinely outperforming. An institution that performs poorly despite strong research activity has a measurable problem, whether that problem is throughput, disclosure, or both.
The disclosure gap also means that sector-wide friction estimates (currently approximately 90% of commercially viable ideas going unrealised in the PIPE University IP Index) are almost certainly conservative. The true figure, accounting for inventions that bypass reporting entirely, is likely higher. The commercialisation gap is even larger than the data suggests.
That is not a reason to stop measuring. It is a reason to measure more carefully, communicate limitations more honestly, and invest in the upstream visibility that makes the downstream measurement more complete.
What Good Looks Like
The institutions that will close the disclosure gap are not necessarily those with the largest TTOs or the most sophisticated IP strategies. They are those that solve the awareness and access problem: making it as easy as possible for a researcher who has never heard of a TTO to disclose an idea they did not know was commercially valuable.
The PIPE model addresses this directly through the Napkin Ideas pathway: a deliberately low-friction pre-disclosure mechanism that allows researchers to signal commercial interest without formal IP disclosure. It is not a complete solution to the disclosure gap, but it is a structural response to one of its root causes: the high transaction cost of the initial engagement.
The disclosure gap is real, it is large, and it is measurable in its consequences even when it cannot be measured directly. Understanding it is a prerequisite for addressing it.