CaSDaR-Soton/reviewerallocation: Reviewer Allocation

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Authors: xtallokitty83, Louise Saul
Cited by: 0

Abstract

This python script was written to randomly allocate reviewers to applications for CaSDaR's funding call Round 1. It allowed for conflicts of interest to be avoided, and stated a maximum and a minimum number of applications to be allocated per reviewer. It has print statements for each section for anyone looking to re-use the script and check that the script is running effectively. The input data is a list of reviewers as a .csv file and a list of applications as a .csv file with listed conflicts of interest with the reviewers. You will need to specify the file location of these documents at the beginning of the script. A representative dataset for both files has been included with the package. The outputs are a .csv file that show the reviewers that have been allocated to each application, and a printed list in the terminal of the number of applications allocated per reviewer.

Fields of Study & Subjects

Research Science and Academia scientometrics and bibliometrics research Research Data Management Practices

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 February 2026
Language
EN