Participant Characteristics for Study on Research Career Intentions Among Medical Students

Shruthi Venkataraman's dataset contains participant characteristics from a qualitative study on research career intentions. The data likely includes demographic and interview-derived information from 31 first-year medical students from racial and ethnic backgrounds underrepresented in medicine. The dataset was last updated on 2026-05-19 and is shared under a CC-BY-4.0 license.

Use Cases

• Analyze demographic composition of the study cohort based on reported participant characteristics like age, gender, and racial/ethnic identity.
• Study correlations between premedical research exposure and research career intentions as suggested by the interview themes.
• Examine the role of mentorship and identity-concordant role models in shaping research engagement among underrepresented students.
• Investigate tensions between academic research culture and student values, such as the desire for social justice and community impact.

Strengths

• Dataset is based on a defined study cohort of 31 first-year medical students.
• Provides specific demographic breakdowns: mean age 24.8 ± 2.6 years, 64.5% female, and racial/ethnic composition (Black 38.7%, Hispanic 32.3%, Multiracial 29%).
• Data is associated with a structured qualitative study involving semi-structured, in-depth interviews.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating limited scope and likely summary-level data.

Provenance

Source

Shruthi Venkataraman via figshare

Collection Method

Semi-structured, in-depth interviews with 31 first-year medical students from MD-granting programs across the US.

Freshness

Last updated 2026-05-19 17:26:47; freshness should be verified.

Geography

United States