In each winter term BiCDaS offers a lecture series on data science. It takes place on six different Fridays throughout the term.
We are proud to once again have convinced a highly skilled set of internal and external data science professionals to join us as speakers.
This talk will be held by Prof Dr Andreas Henrich (Media Informatics University of Bamberg)
A fundamental function of cultural heritage projects and institutions consists in the collection, cataloguing and persistent storage of material of human culture. Challenges emerge with upcoming needs to digitize such material and to provide it to research communities or the general public. A large amount of cultural heritage collections are stored in depots and might never reach a digitally published state – mainly due to the necessary selectivity of digitization projects and the amount and diversity of artifacts that are being acquired and collected. With this respect, the openness, interoperability and sustainability of repositories are of particular importance as these requirements form a foundation for a long-term preservation of digital cultural heritage along with the scholarly discourse.
In this talk, we discuss the value and benefits that an adoption of the FAIR-principles [Fußnote: findable, accessible, interoperable, reusable; see: https://www.go-fair.org/fair-principles] has on research data management in the digital humanities. After a short glance on current perspectives and requirements of funding organizations with regard to the FAIR-principles and their adoption, we present results of the Digital Research Infrastructure for the Arts and Humanities (DARIAH). The BMBF-funded initiative has developed strategies and services, which facilitate the introduction of FAIR-principles to collections of cultural heritage. In our talk, we particularly focus on methods that allow the explication of contextual knowledge on existing collections to achieve interpretability of their content in integrative contexts and hence supporting such collections to become FAIR.