SDSPAGEvisualisering

SDSPAGEvisualisering is a field within information visualization that focuses on representing the content and structure of SDSPAGE documents. It encompasses methods and tools for transforming pages, sections, and cross-references into visual forms that support quick understanding, comparison, and navigation across large document collections. The aim is to make complex safety or regulatory information more accessible to diverse users, including engineers, compliance officers, and emergency responders.

Typical data sources include digital SDSPAGE pages, metadata about page titles and revisions, and cross-page links. When dealing with scanned documents, OCR and text extraction are used to produce machine-readable input. The resulting data model often represents pages as nodes, sections as sub-nodes, and relationships as edges or attributes such as hazard statements, classifications, or regulatory references.

Common visualization techniques include interactive dashboards showing page summaries, hierarchical layouts (treemaps, sunburst) to display document structure, heatmaps to indicate hazard severity or frequency of topics, and network diagrams to map cross-linking between pages. Text mining and keyword extraction help surface salient terms. Visualizations may include filters for language, revision date, and regulatory regime, and accessibility features such as high-contrast palettes and screen-reader friendly layouts.

Implementation relies on clear data schemas and interoperable formats; typical tooling includes NLP pipelines and visualization libraries such as D3.js or Vega-Lite. Success depends on standardized SDS data, incremental updates, and alignment with existing repositories to support reuse and scalability.