Beril Yalcinkaya's dataset contains 4,981,731 individual-year observations for 535,568 distinct biomedical scientists in the United States from 1990 to 2018. It links bibliometric records to career histories and geographic locations to analyze the effects of targeted regulation of abortion providers (TRAP) laws. Findings indicate these laws increased scientists' probability of relocating and led to declines in research quality and patenting activity.
Use Cases
- Analyzing the effect of state-level abortion restriction laws on scientist relocation probability based on geographic location data
- Studying the impact of policy changes on research productivity based on bibliometric records
- Comparing mobility and productivity trends between junior and senior scientists based on career history data
- Investigating the relationship between TRAP laws and subsequent declines in patenting activity
Strengths
- 4,981,731 individual-year observations provide substantial longitudinal coverage
- Data spans a 29-year period from 1990 to 2018
- Links publication data to scientist career histories and geographic locations
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
Provenance
- Source
- Harvard Dataverse
- Collection Method
- Constructed from bibliometric records linking publication data to scientist career histories and geographic locations.
- Time Range
- 1990 to 2018
- Freshness
- Last updated 2026-04-17 14:29:57; freshness should be verified
- Geography
- United States