Notes from the research administration trenches.
Practical writing on CCSG renewals, T32 submissions, publications tracking, training-grant administration, and the operational reality of running research at scale.
Multi-Year Awards: Annualize and Split a Lump Sum Across Reporting Years
As funders shift from annual to consolidated multi-year awards, research offices need a defensible method for distributing a single multi-year sum across the budget years it covers so annual snapshots stay accurate.
Public-Access and PMCID Compliance, Demystified
A PMCID is a fast at-a-glance signal that a paper met public-access requirements, but the deposit rules behind it are easy to muddle. Treat compliance tracking as a tunable worklist that tells you who to chase — not an enforcement gate.
Trainee + Mentor Co-Authorship: The Publication Metric Training Grants Care About
For training-grant reporting, the publications that matter most are the ones a trainee and mentor wrote together — but auto-crawlers pull every paper an author ever wrote, and trainee counts collide with center-membership counts. This post covers scoping attribution to the enrollment window and keeping trainee publications in their own ledger.
Membership Lifecycle: Gaps, Departures, and Backfilled Dates
Real membership isn't a clean start-and-end pair. People leave and return, migrated dates are placeholders, and departed members still need crediting for the years they were active. Model membership as dated intervals and deactivate rather than delete — your reporting depends on it.
Stop Hand-Keying T32 Data Tables: Centralize Once, Survey Straight Into the Tables
Training-grant data tables are tedious because the same trainee, mentor, and publication facts get re-typed into rigid federal systems every cycle. This post covers holding the source data centrally and designing faculty/trainee surveys whose responses map cleanly onto the required table columns.
Mining Federal Funding Data to Bootstrap Your Grants Database
A how-to on using public federal funding data (e.g., NIH RePORTER) to bulk-populate funding records, fill gaps, and catch awards the manual notification chain missed — built on a person-ID crosswalk and scoped to keep the data honest.
The Validation Pass: Reconcile the New System Against Your Old One, Field for Field
A migration isn't done until you can prove it. The discipline that closes out any conversion is reproducing the numbers and reports the center already trusts — side by side, the same period, the same segmentation — so reviewers spot discrepancies against a familiar baseline instead of taking the import on faith.
Running an AI Pilot Without Risking Your Data
Before opening a new AI query or reporting capability to everyone, stand up a small, calibrated focus group that surfaces where outputs are wrong and where guardrails are needed — all under read-only access with structured feedback.
Reviewer Confidentiality and Blinding: Decide the Politics Before Applications Open
Should reviewers see each other's scores? The answer depends on your committee's culture, not the software default. This post covers configuring review visibility — and documenting the policy up front — so you don't get "yelled at" mid-cycle.
The Five Funding Buckets — and Why an Unclassified Award Vanishes
The standard peer-review classification cancer centers report on, why the sponsor drives the bucket, and the blank-bucket trap where an unclassified award silently drops out of the report.
Topic clusters across the research-administration stack.
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