Developing an ontology for formalizing knowledge of data curation activities.
The ontology aims to represent the structure of data curation activities. The domain to be covered by this ontology is that of data curation. Providing structured data curation activities in a machine-readable format can support the knowledge-sharing process between humans and information systems in a scalable manner. It is desirable to maintain the ontology through the collaboration of the data curators in each field and the ontologists who deal with knowledge sharing in information systems. The description of this ontology is based on the vocabulary of the PROV ontology (https://www.w3.org/TR/prov-o/) endorsed by W3C. The described activities were mainly defined by the Data Curation Network, with some additions.
The currently developed version is available on GitHub: https://github.com/lodac/data-curation/tree/main/src/ontology
To open the ontology the program Protégé (https://protege.stanford.edu/) is recommended.
Minamiyama Y, Takeda H, Hayashi M, Asaoka M, Yamaji K (2024). A study on formalizing the knowledge of data curation activities across different fields. PLoS ONE 19(4): e0301772. https://doi.org/10.1371/journal.pone.0301772 Minamiyama, Yasuyuki, Takeda, Hideaki, Hayashi, Masaharu, Asaoka, Makoto, & Yamaji, Kazutsuna. (2022). Development and utilization of data curation process ontology. Zenodo. https://doi.org/10.5281/zenodo.6624457