Table 3.
Primary target: Increase scientific productivity. Key findings of the case study regarding the operationalization and data collection strategies for the metric “number of peer-reviewed publications”.
| Sub-Questions (N) | Themes | Frequency (%) |
|---|---|---|
| How the metric is operationalized (9) | Peer reviewed journals by investigators/studies or affiliated faculty supported by RCMI (cite RCMI) | 9 (100) |
| Peer reviewed publications that acknowledge/cite RCMI support | 6 (66.7) | |
| Other: Compliance with public access policy; RCMI related (non-peer reviewed) publications | 3 (33.3) | |
| Approaches and methods for data collection (10) | Online database (Scopus, Google Scholar, Web of Science, PubMed, PubCrawler, etc.) | 8 (80.0) |
| Progress report (including NIH RPPR) or survey (RCMI affiliated faculty or facilities) | 8 (80.0) | |
| Other: Tracking system/Administrative records; Bio-sketch/CV; Interviews with supported researchers | 7 (70.0) | |
| Data source (9) | Primary and secondary data | 9 (100) |
| Periodicity (9) | Annually | 5 (55.6) |
| Bi-annually | 5 (55.6) | |
| Other: Ongoing; monthly; or bi-monthly | 5 (55.6) |
N: Number of RCMIs who responded to each sub-question. The number of respondents varied by question, as all sites did not address all sub-questions.