Survey of Decision Support Capabilities in 33 Science Gateways

33 science gateway implementations were systematically surveyed from 498 candidate papers to characterize decision support system capabilities. The dataset documents gateway platform technologies, target application domains, and specific DSS features across fields like water resources, carbon capture, and neuroscience.

Use Cases

• Analyze the distribution of specific DSS capabilities across different target application domains like water resources or neuroscience.
• Compare gateway platform and underlying technologies used for participatory modeling approaches in different study focus areas.
• Identify gaps in participatory science enablement or real-time analytics capabilities documented in the survey.
• Map the relationship between study focus and the presence of infrastructure sustainability features across the 33 gateways.

Strengths

• Systematic methodology screened 498 papers against seven specific inclusion criteria for rigor.
• Covers 33 distinct science gateway implementations across multiple scientific domains.
• Thematic analysis extracted structured data on key capabilities like reproducible environment design and participatory science enablement.

Limitations

• Sample size is limited to 33 gateways, which may not represent the entire population of science gateways.
• Data is derived solely from published literature, potentially missing unpublished or proprietary gateway implementations.
• The dataset's structure and specific column features are not detailed in the provided input.

Provenance

Source

Systematic literature search of the Semantic Scholar corpus, conducted by author Suzanne Pierce.

Collection Method

Thematic analysis of peer-reviewed papers meeting seven inclusion criteria related to science gateways and decision support.

Freshness

Last updated 2026-01-26.