From CCSG assembly to steady-state administration.
Cancer centers operate under some of the most demanding reporting requirements in academic research. CCSG/P30 renewals, progress reports, and annual data table submissions require a level of investigator, publication, and funding data accuracy that spreadsheets and ad-hoc exports can't sustain.
- CCSG / P30 reporting
- Investigator system of record
- Documented & audit-ready
- NIH RePORTERGrantsAwards, funding sources, and periods.
- PubMed · iCitePublicationsScholarly output with clear attribution.
- TrainingAppointments, mentors, and intake.
- Program RolesMembership and leadership CCSG depends on.
- CCSG TablesNIH-ready Data & E-Data Tables.
- Shared ResourcesCore-facility links, including DT1C.
What you can stand behind.
- Months → days
- CCSG table assembly
- One
- Profile per investigator
- 0
- Centers in Cancer Logix
- NIH-ready
- Data & E-Data Tables
What research administration looks like without the right tools.
Pulling member rosters, publications, and funding data together for NIH submissions takes months of manual reconciliation across systems that don't talk to each other.
Faculty publications, grants, and appointments need to stay current year-round — not just during renewal season when errors are hardest to fix.
CCSG DT1C requires demonstrating research activity linked to core facilities. That connection is nearly impossible to make without integrated data across investigators and cores.
T32 and other training grants require their own tracking systems — trainee appointments, mentor assignments, and NIH table outputs — that usually end up as separate spreadsheets.
Built for NCI-designated cancer centers.
- Months of manual reconciliation across systems that don't talk to each other.
- Cancer-relevance calls made differently by each reviewer, each cycle.
- Decision rationale lost to email threads by the time a site visit asks.
- Shared-resource activity impossible to link back to investigators and cores.
- CCSG Data & E-Data Tables assembled from live investigator profiles.
- A standardized, documented cancer-relevance rubric applied consistently.
- Every determination captured with its rationale — an audit trail that lasts.
- Investigators, cores, and DT1C linked in one model.
Already benchmarking in Cancer Logix? Research Logix turns that public view into your own governed system of record.
Curates members, publications, and funding into NIH-ready CCSG Data Tables and E-Data Tables. The module most centers adopt Research Logix for. Reduces CCSG assembly from months to days. Learn more →
Training programs, trainee appointments, mentors, and application intake built on the same researcher profiles used for CCSG reporting. No duplicate data entry. Learn more →
Peer-reviewed physician and researcher directory sourced from public data. Baseline membership verification, excellence benchmarking, and institutional peer comparison. Learn more →
The roles that actually use it.
Strategic oversight, CCSG readiness, and peer benchmarking across the center's research enterprise.
Owns workflows, compliance, and audit-ready reporting across grants, training, and shared resources.
Power users — maintain investigator data, publication attributions, grant rosters, and committee memberships.
Monitor research activity and collaboration within their programs; review program-level metrics for CCSG.
Tracks funding status, award periods, and documentation against deadlines.
Reviews submissions and ensures protocol adherence as part of the broader administrative workflow.