This is collection includes documents, data and code as results of the interdisciplinary research project KONDA (Continuous Quality Management of Dynamic Research Data on Cultural Heritage Objects using the LIDO standard).

KONDA is a research project of three partners: Foto Marburg (Deutsches Dokumentationszentrum für Kunstgeschichte), Prof. Gabriele Taentzer of the Departement for Mathematics and Informatics  of Philipps Univerisity Marburg and the State Library of University Göttingen (SUB). It is funded by BMBF for three years (2019-2022).
 

What we do:

A small interdisciplinary team of computer scientists and art historians is working together to develop a generic quality management process for dynamic and partly uncertain research data. For this purpose, the entire data life cycle is taken into account, as well as on three different levels: Data, data models and data transformations.

Within this objective, the XML data format LIDO (Lightweight Information Describing Objects) which is now an established standard for the exchange of cultural heritage data, plays a central role. This standard is being further developed by the SUB staff in and the national and international expert committees of the ICOM. This ensures a broad anchoring of the project in the community and the possibility to include its feedback. In the course of the further development of LIDO, updated handouts and information material will be created.

At the same time, we also see LIDO itself as a means of quality assurance for data on objects of material culture. The development of genre-specific LIDO application profiles, begun by Foto Marburg (DDK) and communicated in manuals, will thus be taken up or continued within the framework of the project for the genres of graphics, painting/sculpture and architecture. Here, too, exchange with the community is central, to be able to take into account conditions and requirements.

Based on results obtained from the analysis of domain-specific research data and QM processes, the development of a generic QM process becomes possible. At first, especially the data and processes in the DDK and at Goettingen State and University Library (SUB) are analyzed. A central characteristic of these data on cultural-historical objects is not least that they are inherently vague or uncertain because they describe historical objects and contexts that can hardly be fully explored retrospectively. 

The computer scientists of the Department of Computer Science and Mathematics apply common techniques and methods of quality management to the domain of cultural studies. Among other things, they explore generic data quality analysis and improvements methods that focus on uncertainties.

Why we do what we do: 

Research data, but also the associated data models and transformations are dynamic. Also, contexts and paradigms of research, where data is generated and perceived change and evolve over time. The demands that producers and users place on them develop not least with the technological possibilities. Therefore, a QM process is needed that takes this nature of research data into account and addresses its three levels. 

Quality management for cultural heritage data is usually based on local guidelines, especially at GLAM institutions, and tends to find individual, local solutions. So there are heterogeneous data models and curation criteria. By asking experts in this field about their procedures and techniques, we take local needs into account, consider existing standards and try to find approaches for solutions that can be applied there.

Who we are:

• The German Documentation Center for Art History (DDK) - Bildarchiv Foto Marburg 
• Research and Development Department of the Goettingen State and University Library (SUB)
• Prof. Dr Gabriele Taentzer of the Department of Computer Science and Mathematics of University of Marburg

For News and Updates visit our Twitter: https://twitter.com/KondaProjekt

Or contact us via: konda@uni-marburg.de