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).

{"references": ["Peroni, Silvio. (2021). Citations to invalid DOI-identified entities obtained from processing DOI-to-DOI citations to add in COCI (Version 1.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4625300", "Cioffi, Alessia, Coppini, Sara, Massari, Arcangelo, Moretti, Arianna, Peroni, Silvio & Santini, Cristian. (2021). Identifying and correcting invalid citations due to DOI errors in Crossref data. https://doi.org/10.48550/arXiv.2111.11263"]}