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Classes of errors in DOI names: evaluation dataset

<p>This dataset contains the results of the evaluation of the methodology presented in the article <em>Identifying and correcting invalid citations due to DOI errors in Crossref data</em> (<a href="https://arxiv.org/abs/2111.11263">https://arxiv.org/abs/2111.11263</a>).</p> <p>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 (<a href="https://doi.org/10.5281/zenodo.4892551">10.5281/zenodo.4892551</a>).&nbsp;They were extracted using the script called evaluation.py, which can be viewed in the GitHub repository&nbsp;<em>open-sci/2020-2021-grasshoppers-code&nbsp;</em>(<a href="https://doi.org/10.5281/zenodo.4723983">10.5281/zenodo.4723983</a>).</p>

ShareScore

52/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
8
Access
20
Reuse readiness
8
Engagement
8

Topics