Dataset Open Access
l-sized Training and Evaluation Data for Publication "Using Supervised Learning to Classify Metadata of Research Data by Field of Study"
Tobias Weber
Automated classification of metadata of research data by their discipline(s) of research can be used in scientometric research, by repository service providers, and in the context of research data aggregation services. Openly available metadata of the DataCite index for research data were used to compile a large training and evaluation set comprised of 609,524 records. This is the cleaned and vectorized version with a feature selection of large size.
Files
(2.0 GB)
| Name | Size | |
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l_data_vectorized.tar.gz
md5:2d0dacc2e0902b6ca69e1b997fb6da51 |
2.0 GB | Download |
70
24
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 70 | 70 |
| Downloads | 24 | 24 |
| Data volume | 48.1 GB | 48.1 GB |
| Unique views | 64 | 64 |
| Unique downloads | 17 | 17 |
Indexed in
- Publication date:
- October 15, 2019
- DOI:
-
- Keyword(s):
- research data disciplines of research supervised machine learning multi-label classification text processing data science
- Subject(s):
- Related identifiers:
- Compiles
- 10.5281/zenodo.3490329 (Dataset)
- License (for files):
- Creative Commons Attribution 4.0 International