Towards a Scientometric Understanding of Cultural & Digital Heritage: Multi Source Data Integration Pipeline & EC Funding Trends

Simple item page
dc.contributor.authorEhrenberger, Walteren_US
dc.contributor.authorMünster, Sanderen_US
dc.contributor.editorCampana, Stefanoen_US
dc.contributor.editorFerdani, Danieleen_US
dc.contributor.editorGraf, Holgeren_US
dc.contributor.editorGuidi, Gabrieleen_US
dc.contributor.editorHegarty, Zackaryen_US
dc.contributor.editorPescarin, Sofiaen_US
dc.contributor.editorRemondino, Fabioen_US
dc.date.accessioned2025-09-05T19:55:04Z
dc.date.available2025-09-05T19:55:04Z
dc.date.issued2025
dc.description.abstractWe introduce an ELT pipeline and a data model that integrates, sanitizes, unifies, and enriches multiple data sources to enable quantitative analysis of cultural and digital heritage. This results in 374,998 research outputs, 45,725 institutions and 19,558 projects after deduplication, including other entities and metadata. We developed scientometric use cases tailored for researchers and policy makers, and implemented a preliminary version of them in an interactive web app prototype. Using basic keyword filtering to identify relevant fields in our curated dataset, our analysis reveals that Digital Heritage funding surged 355% compared to Cultural Heritage's 137% growth (2015-2024), with Italy emerging as the leader in both fields. Computer Science dominates Digital Heritage (averaging 60% of funding), while Cultural Heritage maintains broader disciplinary distribution. Economics/Business show remarkable growth in both fields, suggesting increasing commercialization focus. These initial findings, as well as the use cases presented in the prototype, demonstrate the pipeline's potential while highlighting the critical need for sophisticated topic modeling and classification systems as well as further enrichment of the data to unlock deeper scientometric insights.en_US
dc.description.sectionheadersData Analysis, Datasets and Multimodal Approaches
dc.description.seriesinformationDigital Heritage
dc.identifier.doi10.2312/dh.20253381
dc.identifier.isbn978-3-03868-277-6
dc.identifier.pages10 pages
dc.identifier.urihttps://doi.org/10.2312/dh.20253381
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/dh20253381
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectScientometric Analysis, Cultural, Digital Heritage, Multi Source Data Pipeline, Funding Trends
dc.subjectScientometric Analysis
dc.subjectCultural, Digital Heritage
dc.subjectMulti Source Data Pipeline
dc.subjectFunding Trends
dc.titleTowards a Scientometric Understanding of Cultural & Digital Heritage: Multi Source Data Integration Pipeline & EC Funding Trendsen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
dh20253381.pdf
Size:
4.21 MB
Format:
Adobe Portable Document Format
Download
Collections
Track 03 – Infrastructures, Dataspace, International Projects