Build for the Whole Research Enterprise, Not Just the Cancer Center

CCSG-style data tables answer a bigger question than cancer — how robust your whole research enterprise is. Scope the repository for that from day one, or pay for a re-architecture later.

The tables you assemble for a cancer center support grant feel cancer-specific because that's the deadline driving them. But step back from the submission and look at what those tables actually demonstrate: who your researchers are, what they're funded to do, what they publish, and how they collaborate across organizational lines. That's not a cancer story. That's a research-enterprise story, and almost every part of your institution needs some version of it.

Teams that build their reporting infrastructure narrowly — "this is just for the CCSG" — end up rebuilding it the first time the dean's office, a program-project PI, or the sponsored-programs director asks for the same data sliced a different way. The expensive mistake isn't collecting too little. It's scoping the foundation to one consumer when half a dozen consumers are standing in line behind them.

The CCSG is one slice, not the whole pie

A center support grant is the most demanding reporting exercise many research offices face, which is why it tends to define how the data gets modeled. That's backwards. The discipline a CCSG forces — clean membership rosters, attributed funding, deduplicated publications, point-in-time collaboration counts — is exactly the discipline a P30 of any flavor, a program-project (P01) award, an indirect-cost rate negotiation, or a strategic-plan dashboard also demands.

Consider what the same underlying data feeds once you stop thinking of it as "cancer data":

• Other center and program grants. A P30 in another domain, a U54, a SPORE, an institutional training grant — each wants membership, funding, and productivity tables structured almost identically.
• Indirect-cost (F&A) negotiations. Your research volume and its distribution across units is the evidence base for an IDC rate proposal. The funding repository you built for the CCSG already holds most of it.
• Cross-cutting working groups the org chart can't express. Formal program structure rarely captures the informal teams — a methods collaborative, an early-career cohort, a multi-PI initiative that spans three departments. A flexible custom-network layer lets you report on those groupings without distorting your official program hierarchy.
• Leadership and the dean's office. "How is the research enterprise doing?" is a recurring question with no CCSG attached. If the only way to answer it is to re-run a cancer-scoped report and apologize for what's missing, the data model is too narrow.

When you design the repository to answer the broad question, the cancer-scoped question becomes a filter on top — not a separate build.

Reviewers want the dashboard, not just the data

There's a second shift worth naming. It is no longer enough to have the data; reviewers and institutional leadership increasingly expect to see it, on demand, in a clean centralized view. "We can pull that together" is a weaker answer every cycle. A standing metrics dashboard — funding by program, collaboration over time, publication output by unit — signals operational maturity in a way a one-off export never will.

But honesty about scope matters here too. No single platform holds every metric. Clinical-trial accrual usually lives in a CTMS. Shared-resource utilization often lives in a core-management or lab-services system. Financial actuals live in the institution's system of record. Pretending one tool is the universal source of truth sets you up to either under-report or to jam data where it doesn't belong. The realistic target is a primary repository for faculty activity — people, funding, publications, collaboration — that links to the specialized systems rather than absorbing them.

The point isn't to own everything. It's to make the faculty-activity repository the hub that every enterprise-level question can start from, with deliberate, documented links out to the systems that legitimately own the rest.

Scope it once, at setup — a checklist

The whole argument reduces to a setup posture: model for the enterprise, then carve out the cancer center as a view. A few decisions, made early, prevent the painful re-architecture.

• Model the full org hierarchy, not just the cancer center's programs — centers, divisions, departments, schools, campuses — so any unit can be a reporting boundary later.
• Hold a record for everyone you touch, not only formally appointed members, so non-cancer and cross-cutting activity has a home.
• Capture funding and publications broadly first, then filter to cancer-relevant for the CCSG — collecting narrowly is the hard mistake to reverse.
• Stand up custom networks for working groups the formal hierarchy can't express.
• Map system-of-record boundaries explicitly — decide what your repository owns versus links to (CTMS, core management, financials) before anyone asks.
• Build export figures for a phone, and keep a de-identified variant of anything you'd share externally.

Bottom line

Build the foundation for the whole research enterprise and the cancer center reports fall out as a filter. Build it for the cancer center alone and every other consumer triggers a rebuild. The cheaper path is also the more useful one. A platform like Research Logix is designed to model the enterprise once and report off it from many angles — but the principle holds regardless of the tool: scope wide at setup, and let the narrow reports be views, not separate systems.