Dorothea Strecker
researcher and PhD student at Berlin School of Library and Information Science, Humboldt-Universität zu Berlin
research group Information Management
member of ScholCommLab, re3data Working Group, DataCite Metadata Working Group
data studies, infrastructure studies, rstats
Posts
researcher and PhD student at Berlin School of Library and Information Science, Humboldt-Universität zu Berlin research group Information Management member of ScholCommLab, re3data Working Group, DataCite Metadata Working Group data studies, infrastructure studies, rstats
researcher and PhD student at Berlin School of Library and Information Science, Humboldt-Universität zu Berlin research group Information Management member of ScholCommLab, re3data Working Group, DataCite Metadata Working Group data studies, infrastructure studies, rstats
researcher and PhD student at Berlin School of Library and Information Science, Humboldt-Universität zu Berlin research group Information Management member of ScholCommLab, re3data Working Group, DataCite Metadata Working Group data studies, infrastructure studies, rstats
researcher and PhD student at Berlin School of Library and Information Science, Humboldt-Universität zu Berlin research group Information Management member of ScholCommLab, re3data Working Group, DataCite Metadata Working Group data studies, infrastructure studies, rstats
In this preprint, I investigate the simultaneous use of multiple metadata schemas at research data repositories. The analysis covers how eight disciplinary research data repositories from the geosciences and social sciences use disciplinary metadata schemas and the @datacite@openbiblio.social Metadata Schema, and how two metadata records describing the same dataset compare.
researcher and PhD student at Berlin School of Library and Information Science, Humboldt-Universität zu Berlin research group Information Management member of ScholCommLab, re3data Working Group, DataCite Metadata Working Group data studies, infrastructure studies, rstats
researcher and PhD student at Berlin School of Library and Information Science, Humboldt-Universität zu Berlin research group Information Management member of ScholCommLab, re3data Working Group, DataCite Metadata Working Group data studies, infrastructure studies, rstats
This @QSS_ISSI@scicomm.xyz paper analyzes the scope, structure, curation, mappings and use of 45 knowledge organization systems (KOS) for academic fields:
https://doi.org/10.1162/qss_a_00363
It provides a useful overview of KOS and identifies gaps: The findings show that there is a lack of field-specific KOS in certain areas, and that "there is currently no existing multifield KOS that simultaneously is comprehensive in topic coverage, granular, consistently updated, and openly accessible."
researcher and PhD student at Berlin School of Library and Information Science, Humboldt-Universität zu Berlin research group Information Management member of ScholCommLab, re3data Working Group, DataCite Metadata Working Group data studies, infrastructure studies, rstats
researcher and PhD student at Berlin School of Library and Information Science, Humboldt-Universität zu Berlin research group Information Management member of ScholCommLab, re3data Working Group, DataCite Metadata Working Group data studies, infrastructure studies, rstats
This preprint observes a citation advantage of papers reusing more than one dataset, based on publications reusing ICPSR datasets:
http://arxiv.org/abs/2402.05024
"Papers that used more than one dataset garnered 22%, 15%, and 15% more citations over 3, 5, and 10 years relative to papers that used a single dataset." The effect is higher for datasets that are rarely used in combination.