Scientometric Intelligence Platform

Heritage Monitorv0.2

Visualize the evolution of cultural heritage research across Europe through advanced scientometric analysis

176014
Institutions
91956
Research Projects
856251
Research Outputs

Intelligence for Cultural Heritage

Heritage Monitor transforms vast datasets from European research initiatives into actionable intelligence. We let you identify experts, analyze funding patterns, collaboration networks, minority related research and (in development) research trends. This enables policy makers, researchers, and institutions to make data-driven decisions that shape the future of cultural heritage.

Core Data Entities

Institutions

176014

Universities, museums, companies, and cultural organizations driving heritage research

Research Projects

91956

Funded initiatives spanning archaeology, digitization, preservation, and innovation

Research Outputs

856251

Publications, reports, and deliverables advancing cultural heritage knowledge

Five Analytical Scenarios

Each scenario is designed to address specific stakeholder needs through interactive visualizations and evidence-based insights

Funding Tracker

Analyze EU funding distribution patterns

Explore

Collaboration Networks (wip)

Visualize institutional partnerships and gaps

Explore
Coming Soon

Expert Discovery (coming soon)

Identify leading institutions by measurable impact

Explore
Coming Soon

Minority Research (coming soon)

Monitor minority heritage representation

Explore
Coming Soon

Topic Intelligence (coming soon)

Monitor trends and predict emerging research areas

Explore

Transforming Heritage Research Through Data

The Challenge

Cultural heritage research spans thousands of institutions, hundreds of funding programs, and countless research outputs. This fragmentation makes it nearly impossible to identify trends, find collaborators, or ensure equitable representation of minority communities.

Traditional approaches rely on personal networks and incomplete information, leading to missed opportunities and reinforcing existing biases in research funding and collaboration.

Our Solution

HeritageMonitor aggregates data from CORDIS, OpenAIRE, ArXiv, and CORE to create a comprehensive view of the cultural heritage research landscape. Using advanced algorithms for topic modeling, network analysis, and predictive analytics, we transform raw data into strategic intelligence.

Our platform enables evidence-based decision making, revealing hidden patterns in collaboration networks, identifying emerging research areas before they become mainstream, and ensuring minority heritage receives appropriate attention and resources.

Scenario Deep Dives

Funding Tracker

Visualize funding flows across institutions and projects with switchable granularity, revealing geographic patterns and institutional success rates.

  • Multi-level funding views
  • Geographic distribution analysis
  • Temporal funding trends
Funding Tracker screenshot

Collaboration Networks (wip)

Explore collaboration patterns through co-funded projects and joint publications, revealing partnership clusters and strategic opportunities across Europe.

  • Network cluster detection
  • Partnership strength visualization
  • Collaboration gap identification
Collaboration Networks (wip) screenshot

Expert Discovery (coming soon)

Discover and rank institutions based on their demonstrated expertise in specific cultural heritage topics through publication impact, project leadership, and funding success.

  • Topic-specific impact scoring
  • Geographic expertise mapping
  • Evidence-based expert selection
Expert Discovery (coming soon) screenshot

Minority Research (coming soon)

Track research activity related to minority cultural heritage communities, identifying representation patterns and research gaps across European institutions.

  • Community-specific tracking
  • Representation heat maps
  • Diversity gap analysis
Minority Research (coming soon) screenshot

Topic Intelligence (coming soon)

Navigate hierarchical topic structures with popularity scores and trend predictions to identify emerging or declining research areas in cultural heritage.

  • Trend analysis over time
  • Predictive modeling
  • Research gap discovery
Topic Intelligence (coming soon) screenshot

Key Challenges We Address

Defining Cultural Heritage

Cultural heritage is inherently interdisciplinary, spanning archaeology, digital humanities, conservation science, and countless other fields. Our hierarchical topic modeling approach captures this complexity while maintaining analytical precision.

Data Fragmentation

Research data is scattered across multiple databases, languages, and formats. Our unified data model and enrichment strategies bridge these gaps, creating a comprehensive view of the research landscape.

Minority Representation (coming soon)

Minority communities are often invisible in traditional research metrics. Our specialized tracking and keyword-based identification systems ensure their contributions and needs are properly recognized.

Predictive Capabilities (coming soon)

Understanding where research is heading is as important as knowing where its been. Our machine learning models identify emerging trends, helping stakeholders stay ahead of the curve.

Ready to Explore?

Dive into the data and discover insights that will shape the future of cultural heritage research

Digital Humanities at Friedrich Schiller University

The junior professorship focuses on high-level research and teaching in Digital Humanities and Digital Cultural Heritage, specializing in image- and object-based knowledge media. Our work encompasses information behavior, museum mediation, and digital competencies development.

Visit Department Website

Contact

Led by J.Prof. Dr. Sander Münster

Developed by Walter Ehrenberger

EU Funded - DigiCHer Logo

DigiCHer Project | Horizon Europe Grant #101132481

© 2025 Friedrich Schiller University Jena | Heritage Monitor v0.1