Intra- vs. Inter-Programmatic Collaboration: Fix the Counting Rules First
Collaboration metrics only mean something once the counting rules are settled: which membership types qualify, what makes a paper a collaboration, and which program affiliations apply when researchers move. Define those up front, keep dated appointment history, and review authorship before publications reach reporting, and collaboration totals become traceable rather than reconstructed.
Defensible Cancer Relevance: Building Consistency Into Every Decision
CCSG cancer-relevance calls live in a gray area, where similar records get classified differently depending on who reviews them and when. A standardized rubric, a structured review process, documented rationale, and technology that assists rather than replaces judgment make those decisions consistent, transparent, and defensible.
Build for the Whole Research Enterprise, Not Just the Cancer Center
CCSG-style data tables answer a broader question than cancer — how robust the whole research enterprise is. Scope the same repository, collaboration data, and centralized dashboard to serve P30s, program grants, indirect-cost negotiations, and non-cancer collaborations from the start, and you avoid a painful re-architecture later.