Advancements in 3D Heritage Data Aggregation and Enrichment in Europe: Implications for Designing the Jena Experimental Repository for the DFG 3D Viewer

Author:

Münster Sander1ORCID

Affiliation:

1. Juniorprofessorship for Digital Humanities, University of Jena, D-07743 Jena, Germany

Abstract

Since the 2010s, various national and pan-European public infrastructures have been emerging around aggregation, viewing, and 3D heritage model collection. The purpose of this article is to focus on the current state and ecosystem for 3D models in Europe through (a) a review of published studies on users, objects, and demands (b) and an overview of the ecosystem for 3D heritage data. As part of the German distributed infrastructure, the DFG 3D Viewer Jena experimental repository serves as a testbed for technology prototyping and testing. Based on the findings of the European ecosystem, we used this repository to test a prototypic approach to (c) acquiring 3D data from multiple sources, (d) enriching data quality, and (e) enabling indexing, searching, and viewing functionalities.

Funder

DFG (DFG Research Network on Digital 3D Reconstructions as Research Method in Architectural History Studies

DFG 3D Viewer

BMBF HistKI

Stiftung für Lehrinnovation

EU DEP 5DCulture

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference172 articles.

1. Deutsche Forschungsgemeinschaft (2022). DFG-Praxisregeln “Digitalisierung” (Aktualiserte Fassung), DFG.

2. Muenster, S. (2022). Digital 3D Technologies for Humanities Research and Education: An Overview. Appl. Sci., 12.

3. European Commission (2011). Survey and Outcomes of Cultural Heritage Research Projects Supported in the Context of EU Environmental Research Programmes—From 5th to 7th Framework Programme, European Commision.

4. Wallace, M., Poulopoulos, V., Antoniou, A., and López-Nores, M. (2023). An Overview of Big Data Analytics for Cultural Heritage. Big Data Cogn. Comput., 7.

5. Huvila, I. (2014). Perspectives to Archaeological Information in the Digital Society, Institutionen för ABM och Författarna.

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