Lozana Rossenova is a research associate in the Open Science Lab at TIB (German National Library of Science and Technology, Hannover), where she is working on the NFDI4Culture project for a national research infrastructure of cultural data. She completed her PhD at London South Bank University in partnership with Rhizome, New York. Her research focused on data presentation and performativity in the online archive of born-digital art.
Rossenova is an active member of the Wikidata and Wikibase open source development communities, and a co-founder of the Wikibase Stakeholder Group. She is also a member of the Steering Committee of OpenRefine.
In 2020–21, Rossenova served as assistant director for linked data research at the Joan Jonas Knowledge Base.
The Joan Jonas Knowledge Base (JJKB) is an open source digital resource housing information about the New York-based multimedia and performance artist Joan Jonas (b. 1936) who has been at the vanguard of interdisciplinary art forms such as performance, video art, and new media installations for over five decades. This academic research project (NYU, UQAM, UCLA) is part of the Artist Archive Initiative dedicated to providing useful information to conservators, curators, and other researchers who seek to learn more about the artist’s work.
In this presentation we will highlight the collaboration between the curatorial and conservation teams and the technology team in selecting and preparing a unique research resource drawing on materials from the artist’s personal archive, as well as museum archives, archives of photographers, galleries, university libraries, and other public and private archives and foundations where we found museum and performance documentation of the case studies, photographs, videos, publications, and exhibition ephemera included in the JJKB. Throughout this process it became clear that performance artworks are associated with many components, including objects (such as drawings, audio, video, and other media); performance art happens over time as new iterations are associated with the original work; and performance art may involve collaboration among artists and others. Hence, the materials and research data we worked with does not fit neatly into a traditional hierarchical schema, such as an SQL relational database. We therefore developed a flexible, RDF-compliant data model to capture a curated selection of research data and to upload this to the linked open data cloud via Wikidata, which allows us to support cross-cultural and cross-institutional research and collaboration.
This presentation will further highlight how we use of a variety of data visualization techniques — via Wikidata’s SPARQL endpoint — as an additional approach to present our findings to researchers. As we continue to add data into Wikidata about Joan Jonas and her work over time, the resulting data tables and data visualizations will become more complex and more robust. We hope they will lead to new and interesting ways to study this artist’s exciting works.
This short talk will outline the main steps needed to set up and start using a custom reconciliation service between OpenRefine and any arbitrary Wikibase instance. This method has been in use by individual institutions like Rhizome since September 2020, but since the release of OpenRefine beta 3.5 version is becoming more accessible to new users. We will also show a new box service for automated deployment developed at the Open Science Lab at TIB Hannover, in collaboration with the OpenRefine team.