🗺️ SODRAM - Specific Open Dataset Regional Analysis Metadata

This Node.js-based research tool analyzes the metadata quality of German municipal Open Data portals. Specifically, it evaluates the regional assignability of datasets depending on whether standardized metadata models like DCAT-AP and GeoDCAT-AP are used (typically via CKAN), best practice as a SPARQL endpoint, or non-standard formats (e.g. ArcGIS JSON).

🧪 Developed as part of the research poster submission for DCMI 2025 by Florian Hahn, TU Chemnitz (SODIC Research Group)

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🔍 Research Question

Does the use of DCAT and CKAN in municipal German Open Data portals improve the assignability of datasets to regional categories compared to non-standardized alternatives?

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📦 Features

• 🔎 Automated metadata harvesting via:

  • ArcGIS REST API
  • CKAN API
  • CKAN SPARQL
  • DCAT RDF
  • DCAT RDF SPARQL

• 🧠 Regional categorization logic using place/entity keywords

• 📊 CSV export for per-portal analysis

• 🎨 Colored console output via chalk

• ✍️ Easily extendable keyword classification logic

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🏗️ Setup

git clone https://github.com/SODIC-research/SODRAM.git
cd SODRAM
npm install

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🚀 Usage

Run the analysis:

npm run start

This will:

• Fetch metadata from German city portals (e.g. Chemnitz, Dresden, Leipzig)
• Apply classification logic
• Export results to /export/*.csv
• Export summary to /export/summary.json

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📁 Output

Each analyzed portal produces a .csv file with the following structure:

Title,Description,Spatial,Assignable
"Population by District","...","Leipzig",true
"Verkehrsdaten 2022","...","",false

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🧠 Methodology

• All portals are evaluated using a fixed list of regional keywords and spatial metadata fields (dct:spatial, title/description).
• The code is designed to replicate the methodology described in the poster: "Regional Analysis of Topic-Specific Open Datasets Through Metadata: Evaluating the Analytical Usability of DCAT vs. Non-DCAT Metadata in a Municipal Portal"

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📚 References

• DCAT-AP 3.0.0 - European Commission
• GeoDCAT-AP 3.0.0
• CKAN Documentation

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🔖 License

MIT License © 2025 Florian Hahn, TU Chemnitz, SODIC