Table 1. Demographic characteristics stratified by history of data use.
| Data user (N = 348) | Non-user (N = 295) | |
|---|---|---|
| Occupation: n (%) | ||
| Clinical researcher | 205 (58.9) | 206 (69.8) |
| Informaticians (data scientists, statisticians, bioinformaticians) | 21 (6.0) | 0 (0.0) |
| Research support professional | 50 (14.4) | 59 (20.0) |
| Other | 72 (20.7) | 30 (10.2) |
| Career-level: n (%) | ||
| Senior researcher | 40 (13.5) | 34 (13.3) |
| Mid-career researcher | 52 (17.6) | 45 (17.6) |
| Early career researcher | 78 (26.4) | 82 (32.0) |
| Graduate student | 31 (10.5) | 40 (15.6) |
| Research support professional | 95 (32.1) | 55 (21.5) |
| Gender: n (%) | ||
| Male | 157 (45.98) | 116 (39.32) |
| Female | 185 (53.45) | 171 (58.64) |
| Other | 1 (0.29) | 0 (0) |
| Prefer not to say | 1 (0.29) | 6 (2.03) |
| Age group: n (%) | ||
| 18–24 | 12 (3.45) | 11 (3.73) |
| 25–34 | 122 (35.06) | 104 (35.25) |
| 35–44 | 135 (38.79) | 120 (40.68) |
| 45–54 | 50 (14.37) | 42 (14.24) |
| 55–64 | 23 (6.61) | 12 (4.07) |
| 65–74 | 6 (1.72) | 5 (1.69) |
| Prefer not to say | 0 (0) | 1 (0.34) |
| Sector: n (%) | ||
| University or Academic Research Organisation | 194 (56.4) | 149 (50.9) |
| Government or public institution | 63 (18.3) | 46 (15.7) |
| Non-Governmental or Faith-Based Organisation | 24 (7.0) | 36 (12.3) |
| Commercial organisation (e.g. pharmaceutical company) | 15 (4.4) | 11 (3.8) |
| Regulator | 10 (2.9) | 15 (5.1) |
| Research Funder | 4 (1.2) | 3 (1.0) |
| Other | 34 (9.9) | 32 (10.9) |
*Research support staff include project managers, laboratory staff, research coordinators