The tools institutions rely on to represent their faculty—websites, directories, profile systems—have fallen out of step with how research actually happens. That mismatch was once an inconvenience. Today it's a cost, and it's landing where institutions can least afford it: on the faculty already carrying the most.

Where research actually lives now

Research doesn't live in one place anymore.

A researcher's publications live across PubMed, Google Scholar, bioRxiv, and field-specific databases. Datasets in Figshare, Dryad, Zenodo, or an NIH repository. Code on GitHub. Clinical trials in ClinicalTrials.gov. Protocols in protocols.io. Talks uploaded to YouTube after a conference. Media mentions scattered across news and industry publications. A CV in a Word document. An ORCID record that may or may not be up to date. An institutional faculty profile that definitely isn't. A personal academic site, if you're lucky—possibly built by a postdoc five years ago that nobody has touched since.

Each platform is a real system, run by a real vendor or community, serving a real purpose. None of them were designed to answer "what does this researcher actually do?" for anyone who wants to know, whether that's a prospective collaborator, a funding officer, a journalist, a PhD applicant, or a department chair.

This isn't a faculty problem. It's an infrastructure problem. Institutional systems built to solve it—faculty profile databases, bio directories, managed CMS websites—were designed for a research ecosystem that hadn't fragmented yet. Today they're being asked to answer questions they weren't designed for, using data they don't have.

Who pays

In most institutions, the cost lands in three places.

• Faculty burden. When the institutional system doesn't work, faculty and admin staff build around it. Research admins email for updated bios. Chairs request publication lists for promotion packets. Communications asks for photos and areas of expertise. Each ask is reasonable in isolation. In aggregate, faculty time gets spent on the uncompensated, unrecognized work of being a web publisher, and the burden lands hardest on early-career researchers, clinician-scientists, and caregivers, whose calendars are already the tightest.
• Equity gaps. Researchers who are good at self-publication—who keep websites updated, stay on top of ORCID, post on LinkedIn—remain visible. Researchers who don't, aren't. That filtering isn't neutral. It tracks generational differences, field-level norms, caregiving responsibilities, and uneven admin support across departments. Collaborators find the same handful of people. Journalists quote the same voices. PhD applicants read the same bios. The research your institution is actually producing doesn't match the research your institution appears to be producing.
• External visibility. Outsiders trying to understand what one of your researchers does—a collaborator, a funder, a journalist, a prospective PhD student—piece together a stale faculty profile, a scattered ORCID record, and whatever Google surfaces first. The institution loses outcomes it can't easily measure: collaborations that don't form, journalists who quote someone else, applicants who choose elsewhere. The strongest pitch is often the work itself — but if it can't be discovered coherently, it can't do that work.

What's actually needed

The common response has been to centralize: a better faculty directory, a better CMS, a better bio template. None of those address the underlying shift. Research has fragmented because the ecosystem has fragmented. Data repositories, preprint servers, code platforms, and trial registries aren't going to consolidate back into one system. The question isn't how to replace the fragmentation. It's how to meet it.

What institutions need is a layer that reads the fragmentation and presents it coherently: profiles built from where research actually lives, maintained without putting the work back on faculty, accurate by design rather than stale by default. Not another platform researchers have to post to, but a layer that brings together the platforms they're already using.

A structured picture of the researcher unlocks something else. Grant-alert systems were built around the question what funding exists. That question has been answered. The question that matters now is fit—which opportunities match what a researcher is actually doing, right now, given their projects, methods, collaborators, and trajectory. That's a question you can only answer with an accurate, current read on the work itself.

Our 90 day pilot

We've spent years at OpenScholar building for the way research actually works. Our two newest products—OS Research Hubs and OS Match—launch publicly in July. Together they address both sides of the mismatch above: Hubs is the layer that reads fragmented research and presents it coherently; Match is what becomes possible when that layer exists.

Currently, we're offering a 90-day pilot of both.

Ten of your researchers. Three rounds of funding matching. Up to 450 high-confidence funding matches across the pilot. A chance to evaluate the full system on your own faculty before Hubs and Match become publicly available.

The pilot is $5,000, and the fee applies in full toward your institutional license if you proceed.

To get started, schedule a 20-minute conversation with with our team.

For the full mechanics — what's included, how the 90 days run, who the pilot is built for — see our pilot announcement.

Institutions that move now will finish their evaluation around the moment of our public launch, well-positioned to make a fall licensing decision, with decision-ready evidence in hand.