Harmonized Research Information for Classifying and Linking Research Data





Linked Open Data, Metadata Harmonization, Data, Metadata, Interoperability, FAIR, Research Commons


A well-described, harmonized in standard formats and linked metadata accelerates and refines the search process. Hence, researchers can ensure that their data is properly organized, easily discoverable, and accessible to others. Machine-readable metadata is especially essential for automatic discovery of research datasets and outputs. It facilitates the search and retrieval of data with increased accuracy, which saves the user time in finding crucial information within their field of research. This requires rich and categorized metadata that allows computers to automatically retrieve and sort relevant search results. Well documented metadata which is harmonized, standardized and serialized in linked data formats increases not only the accuracy of the search results within a field of research, but can also provide relevant and helpful suggestions within disciplinary and interdisciplinary fields of research. 


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How to Cite

Alshawaf, F., Guescini, R., Kotschka, F., Dreyer, M., & Bierwirth, M. (2023). Harmonized Research Information for Classifying and Linking Research Data . Proceedings of the Conference on Research Data Infrastructure , 1. https://doi.org/10.52825/cordi.v1i.310
Received 2023-04-25
Accepted 2023-06-29
Published 2023-09-07