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>). They were extracted using the script called evaluation.py, which can be viewed in the GitHub repository <em>open-sci/2020-2021-grasshoppers-code </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