Deep Blue Data personnel will unavaliable during the holiday. Please Contact Us if you have any issues and we will respond when we return on Thursday, January 2nd 2025.
Need language around using Deep Blue Data as a repository for your NIH data sharing plan? See Data Sharing Boilerplate .
The data sources and methods used to process the raw data are described in the paper forthcoming in Science and the associated Supplementary Information. A preprint for an earlier version of this paper is available here: https://osf.io/preprints/socarxiv/754e3. These data are anonymized (see Methodology for details). Consequently, running the same code on these data vs. the data in the paper does not yield *identical* results but qualitatively similar ones.
J. M. Z. Dumlao, M. Teplitskiy, Science, forthcoming. and Zumel Dumlao, J. M. and M. Teplitskiy. 2023. “The Effect of Reviewer Geographical Diversity on Evaluations Is Reduced by Anonymizing Submissions”. Retrieved (osf.io/preprints/socarxiv/754e3).
