Title: Statistics and Evaluation Data for Publication "Using Supervised Learning to Classify Metadata of Research Data by Discipline of Research"

Type Dataset Tobias Weber, Michael Fromm, Nelson Tavares de Sousa (2019): Statistics and Evaluation Data for Publication "Using Supervised Learning to Classify Metadata of Research Data by Discipline of Research". Zenodo. Dataset. https://zenodo.org/record/3490468

Authors: Tobias Weber (Leibniz Supercomputing Centre) ; Michael Fromm (Database Systems Group, Ludwig-Maximilians-Universität München) ; Nelson Tavares de Sousa (Software Engineering Group, Kiel University) ;

Links

• Item record in Zenodo
• Digital object URL

Summary

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 publication contains aggregated data for the paper. It also contains the evaluation data of all model/hyper-parameter training and test runs.

More information

• DOI: 10.5281/zenodo.3490468

Subjects

• supervised machine learning, multi-label classification, research data, text processing, data science, disciplines of research
• url: https://dewey.info/, https://dewey.info/

Dates

• Publication date: 2019
• Issued: October 15, 2019

Rights

• https://creativecommons.org/licenses/by/4.0/legalcode Creative Commons Attribution 4.0 International
• info:eu-repo/semantics/openAccess Open Access

Format

electronic resource

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