Beyond publish or perish: A Content as a Service framework for research impact tracking in university– community knowledge ecosystems

For decades, the academic world has operated under a simple, relentless rule: publish or perish. If a researcher does not constantly produce new papers, their career stalls. This system works well for measuring how much scholars talk to one another, counting how often one paper is cited by another. But it leaves a massive silence in the story. It does not measure whether that research actually reaches the people it was meant to help, or if it changes anything in the real world. In many places, particularly in Africa, a university might produce a mountain of studies on local health, farming, or education, yet the communities living with those issues never hear about them. The knowledge sits in digital archives, unread and unused, while the public investment in that research yields no visible return. The question is no longer just about how many papers are written, but whether the knowledge travels from the university to the community, and if it does, how we can prove it.

A team of researchers from the University of Zimbabwe and the University of Johannesburg has proposed a new way to solve this problem. They argue that the current system is broken because it only counts citations, ignoring the actual journey of knowledge. To fix this, they have designed a framework that treats research not as a static document to be stored, but as a service that is delivered and tracked in real time. Their approach relies on a technical architecture called Content as a Service. In plain terms, this means instead of putting a research paper in a digital library where it sits quietly, the content is broken into pieces and sent out dynamically to wherever people need it—via mobile phones, community radio scripts, or local websites. Crucially, because the system controls how the content is delivered, it automatically records every time someone asks for it, downloads it, or shares it. This turns the act of sharing knowledge into a measurable event, creating a trail of evidence that shows exactly who received the information and how they used it.

The researchers tested the need for this system by studying two universities in Zimbabwe. They found a frustrating gap between what academics wanted to do and what actually happened. Most university staff expressed a strong desire to share their work with local communities. However, when the researchers looked at the data, they found that very few community members were actually accessing the research. The universities' digital repositories had collected thousands of items over ten years, yet the number of people from the local communities downloading or reading them was negligible. The barrier was not a lack of willingness to share, but a lack of a system that could bridge the divide. Without a way to track if the research was being used, academics received no credit for their community work, and the communities remained unaware of solutions that could improve their lives. The study confirmed that without a mechanism to measure this connection, the incentive to engage with the public simply disappears.

To close this gap, the team built a new framework that maps the journey of knowledge through four distinct stages. The first stage is reach, which simply proves that the content was delivered to the intended audience. In this system, this is tracked by counting how many times a research summary was requested or played as an audio file in a local language. The second stage is engagement, which measures if people interacted with the material. This could be a community member asking a question about the research, leaving a rating, or discussing the findings in an online forum. The third stage is uptake, which is the most critical step: it tracks whether someone took the knowledge and shared it further or applied it. If a local health worker downloads a guide and then shares it with a village clinic, or if a radio station rebroadcasts a summary, the system logs this as a sign that the knowledge is moving. The final stage is societal change, which looks for long-term evidence that the research improved lives, such as a change in local policy or a measurable increase in crop yields, gathered through follow-up surveys sent to the community months or years later.

This framework does not just count numbers; it captures the human side of research impact. The system is designed to work with the way people in these communities actually consume information. Since many people in Zimbabwe access information via mobile phones and prefer audio content in local languages like Shona and Ndebele, the system tracks these specific formats. It records how many times a vernacular audio summary was played, providing evidence that the research reached people who might never read a scientific journal. This is a significant shift from traditional methods, which often rely on English-language citations that miss the vast majority of community interactions. By embedding these tracking tools directly into the delivery system, the researchers ensure that the data is collected automatically as a byproduct of normal use, requiring no extra effort from the academics.

The implications of this work extend far beyond just counting downloads. The researchers found that when this kind of evidence is available, it changes the incentives for university staff. Currently, a professor who spends time translating research for a community receives no formal recognition for that work in their career file. Under this new framework, that engagement becomes visible and measurable. It provides the concrete proof needed for grant applications, showing funders that their money is reaching the people it is meant to help. It also supports promotion reviews, allowing universities to reward community engagement just as they currently reward publication counts. The system generates a portfolio of evidence that includes not just the number of people reached, but the depth of their interaction and the tangible changes that followed.

The study concludes that the "publish or perish" model is incomplete because it only measures half the story. It counts the creation of knowledge but ignores its consumption and application. By using a service-based approach to deliver and track research, universities can finally see the full picture of their impact. This does not mean stopping the production of papers, but rather adding a layer of accountability that ensures those papers do something in the real world. The framework offers a way to prove that public investment in higher education is paying off, not just in the form of academic citations, but in the well-being and development of the communities that fund it. It transforms research from a passive archive into an active, measurable force for change, ensuring that when a university creates knowledge, it truly reaches the people who need it most.