Reproducibility and Preservation: Lessons learned from 1,663 papers in Economics
Talk at IMLS National Forums on Data Quality, Online
- For more information, see https://sites.google.com/view/imls2022-data-quality/home
The American Economic Association’s Data Editor has reviewed more than 1,000 empirical articles since July 2019, and worked with authors to improve the reproducibility of their research compendia (replication packages). Some lessons emerge from this work. In this presentation, I will focus on lessons for young scholars (students and young researchers), on possible lessons even for more seasoned researchers. Students and researchers are embedded within institutions, and I will discuss the kind of support that institutions (universities, data providers, compute services) should be providing to students, faculty, and researchers, for a robust, reproducible, and transparent science enterprise.
This particular version was presented in the IMLS National Forums on Data Quality.