information scientist & statistician
MS, Information SciencesBS, Statistics
My work is concerned with the data that describes research, and how that data is created, connected, and interpreted.
Get in touchMy current work and interests sit at the intersection of information science and statistics, with a particular focus on scholarly metadata, bibliometrics, and research data quality. I employ reproducible analysis and record-level validation to examine what research databases represent, and where their limitations lie.
I hold an MS in Information Sciences and a BS in Statistics from the University of Tennessee, Knoxville. I previously worked in the Research Library at Oak Ridge National Laboratory.
Working with Python, R, SQL, and scholarly data.
A statistical audit of coverage, record correspondence, and metadata consistency across more than three million arXiv manuscripts and their representation in OpenAlex.
The work combines identifier normalization, cross-source comparisons, and manual review of ambiguous or unmatched records. Reproducible Python and R workflows support retrieval, validation, and statistical analysis.
Investigating the meaning, consistency, and reliability of publication dates in OpenAlex, with attention to differences in how scholarly records represent publication events.
The analysis examines differences in dates and record representation across sources, documenting the evidence and limits of each interpretation.
Are you interested in scholarly metadata, research data quality, and open scholarly infrastructure? Let's have a conversation! Write to me at my provided email address.
anoah.azehaf@gmail.com