Classes of errors in DOI names: evaluation dataset
Arcangelo Massari · Zenodo (CERN European Organization for Nuclear Research) · 2022
This dataset contains the results of the evaluation of the methodology presented in the article Identifying and correcting invalid citations due to DOI errors in Crossref data (https://arxiv.org/abs/2111.11263). The file named 10_random_citations_per_rule.csv contains 193 randomly selected citations from the corrected citations obtained by the process described in the article (10.5281/zenodo.4892551). They were extracted using the script called evaluation.py, which can be viewed in the GitHub repository open-sci/2020-2021-grasshoppers-code (10.5281/zenodo.4723983).