The Journal of Open Humanities Data. Bridging open data and Wikidata for the Humanities
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Authors Biographies: Andrea Farina is a PhD Candidate in Digital Humanities, holding a UKRI scholarship from the London Arts & Humanities Partnership (LAHP). With a background in Classics (University of Milan) and Theoretical and Applied Linguistics (University of Pavia), he specialises in syntactic and semantic annotation and has contributed to global projects such as the Greek, Latin, and Sanskrit WordNets and the Digital Corpus of Sanskrit. Andrea is committed to advancing open access research, particularly in Classical studies, and serves as Associate Editor and Social Media Editor for the Journal of Open Humanities Data. He is the creator and convenor of the Data in Historical Linguistics international seminar series. He is a member of the Computational Humanities Research Group at King’s and of the Regional Advisory Committee of the Global Council for Anthropological Linguistics for the European area. | Barbara McGillivray is Lecturer in Digital Humanities and Cultural Computation at King’s College London. Her research focuses on computational methods for the study of language change in both historical languages and contemporary data. She is also editor-in-chief of the Journal of Open Humanities Data: under her leadership, the journal has become the largest interdisciplinary data journal for the humanities and the journal’s team is developing innovative publishing strategies to strengthen the adoption of Open Research principles in humanities disciplines. She has worked as a language technologist in the Dictionaries division of Oxford University Press and as a data scientist in the Open Research Group of Springer Nature. She has also been a Turing research fellow at the University of Cambridge and at The Alan Turing Institute.
Keywords: open data, open access, open humanities research, data papers, Journal of Open Humanities Data
TL;DR: This poster explores how JOHD’s principles align with Wikidata’s capabilities, showcasing case studies of published data papers that leverage Wikidata for dataset creation and impact.
Abstract: Wikidata serves as a critical tool for enriching and interconnecting datasets, enabling researchers to explore relationships across diverse domains (Farda-Sarbas and Müller-Birn 2019; Neubert 2017). It offers a centralized platform for integrating identifiers, metadata, and semantic links, and allows for the creation of interoperable and reusable datasets supporting advanced analysis and interdisciplinary research. At the Journal of Open Humanities Data (JOHD), we embrace the potential of Wikidata to amplify the impact of open data for research in the humanities. Through the publication of data papers (peer-reviewed articles describing datasets, their methodologies, and their reuse potential), JOHD ensures that humanities datasets are accessible and reusable. Our mission aligns with the principles of platforms like Wikidata, emphasizing transparency, accessibility, and collaboration to elevate the role of data in advancing scholarly work and public engagement (Wigdorowitz et al. 2024).
This poster highlights the synergies between JOHD and Wikidata, focusing on how the journal’s principles of open access, reusability, and reproducibility complement Wikidata’s capabilities as a linked open data hub. This collaboration can enhance the value and impact of humanities research in the digital age with JOHD acting as a bridge to encourage humanities scholars to engage with Wikidata by providing guidance on integrating datasets into Wikidata. We present case studies of data papers published in JOHD, showing how they have used Wikidata for dataset creation. For instance, linking place names in historical newspapers to Wikidata (Coll Ardanuy et al. 2022) enhances cultural heritage accessibility. Multilingual cultural heritage information, such as historical Chinese kung fu masters, can be integrated with Wikidata into reusable and human-centered knowledge graphs (Hou and Yuan 2023). Further, Wikidata ensures the reusability and transparency of bibliographical data, supporting JOHD’s emphasis on reproducible research (Malínek et al. 2024). We also comment on published datasets that do not mention Wikidata but could potentially benefit from its integration to enhance interdisciplinarity (e.g., Farina 2023).
Finally, we explore how datasets published in JOHD and integrated with Wikidata can enhance the visibility and discoverability of research (cf. McGillivray et al. 2022) by tracking dataset reuse and citation within the Wikidata ecosystem.
References
Coll Ardanuy, M., Beavan, D., Beelen, K., Hosseini, K., Lawrence, J., McDonough, K., Nanni, F., van Strien, D., & Wilson, D. C. S. (2022). A Dataset for Toponym Resolution in Nineteenth- Century English Newspapers. Journal of Open Humanities Data, 8(1), 3, pp. 1–7. DOI: https://doi.org/10.5334/johd.56
Farda-Sarbas, M., & Müller-Birn, C. (2019). Wikidata from a Research Perspective - A Systematic Mapping Study of Wikidata. ArXiv, abs/1908.11153. https://doi.org/10.48550/arXiv.1908.11153
Farina, A. (2023). Lost at Sea: A Dataset of 25+ SEA Words Morpho-Semantically Annotated in Ancient Greek and Latin. Journal of Open Humanities Data, 9: 24, pp. 1–7. DOI: https://doi.org/10.5334/johd.139
Hou, Y., & Yuan, L. (2023). Building a Knowledge Graph of Chinese Kung Fu Masters From Heterogeneous Bilingual Data. Journal of Open Humanities Data, 9: 27, pp. 1–12. DOI: https://doi.org/10.5334/johd.136
Malínek, V., Umerle, T., Gray, E., Heibi, I., Király, P., Klaes, C., Korytkowski, P., Lindemann, D., Moretti, A., Panušková, Ch., Péter, R., Tolonen, M., Tomczyńska, A., & Vimr, O. (2024). Open Bibliographical Data Workflows and the Multilinguality Challenge. Journal of Open Humanities Data, 10: 27, pp. 1–14. DOI: https://doi.org/10.5334/johd.190
McGillivray, B., Marongiu, P., Pedrazzini, N., Ribary, M., Wigdorowitz, M., & Zordan, E. (2022). Deep Impact: A Study on the Impact of Data Papers and Datasets in the Humanities and Social Sciences. Publications, 10(4), 39. https://doi.org/10.3390/publications10040039
Neubert, J. (2017). Wikidata as a Linking Hub for Knowledge Organization Systems? Integrating an Authority Mapping into Wikidata and Learning Lessons for KOS Mappings. NKOS@TPDL, 1–12.
Wigdorowitz, M., Ribary, M., Farina, A., Lima, E., Borkowski, D., Marongiu, P., Sorensen, A. H., Timis, C., & McGillivray, B. (2024). It Takes a Village! Editorship, Advocacy, and Research in Running an Open Access Data Journal. Publications, 12(3), 24. https://doi.org/10.3390/publications12030024
Format: Poster
Submission Number: 16
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