D3 annotation with CSO Classifier
<p>The <a href="https://zenodo.org/record/7069915">DBLP Discovery Dataset </a>(D3) is a newly created dataset of research papers in the field of Computer Science which can support several tasks like identifying trends in research activity, productivity, focus, bias, accessibility, and impact. This dataset stems from DBLP and integrates additional information from the full-texts. We argue that papers classified with their research topics can improve the identification of research trends. To this end, we used the <a href="https://github.com/angelosalatino/cso-classifier">CSO Classifier</a> to annotate all the papers within D3 and we made such extension available for research purposes.</p> <p> </p> <p>More info: <a href="https://www.salatino.org/wp/annotating-d3-dataset-with-the-cso-classifier/">https://www.salatino.org/wp/annotating-d3-dataset-with-the-cso-classifier/</a></p> <p>More info pdf: <a href="https://www.salatino.org/wp/wp-content/uploads/2022/09/Annotating-D3-dataset-with-the-CSO-Classifier.pdf">https://www.salatino.org/wp/wp-content/uploads/2022/09/Annotating-D3-dataset-with-the-CSO-Classifier.pdf</a></p>
ShareScore
44/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 8
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 4
ScienceDex for faculty
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