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  "author": "Suzanne A Pierce",
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  "author": "Suzanne A Pierce",
            
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  "author_email": "spierce@tacc.utexas.edu",
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  "author_email": "spierce@tacc.utexas.edu",
            
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  "isopen": false,
            
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  "license_id": "notspecified",
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  "license_id": "notspecified",
            
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  "license_title": "License not specified",
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  "license_title": "License not specified",
            
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  "maintainer": "Suzanne A Pierce",
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  "maintainer": "Suzanne A Pierce",
            
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  "maintainer_email": "spierce@tacc.utexas.edu",
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  "maintainer_email": "spierce@tacc.utexas.edu",
            
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  "metadata_created": "2026-01-19T03:52:27.885250",
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  "metadata_created": "2026-01-19T03:52:27.885250",
            
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  "metadata_modified": "2026-01-19T03:54:03.470608",
            
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  "name": 
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  "name": 
            
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gateway-decision-support-system-capabilities-supplementary-materials",
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gateway-decision-support-system-capabilities-supplementary-materials",
            
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  "notes": "This dataset provides a systematic survey of decision 
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  "notes": "This dataset provides a systematic survey of decision 
            
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support system (DSS) capabilities across 33 science gateway 
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support system (DSS) capabilities across 33 science gateway 
            
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implementations documented in the peer-reviewed literature. The survey 
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implementations documented in the peer-reviewed literature. The survey 
            
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was conducted to establish the current landscape of computational 
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was conducted to establish the current landscape of computational 
            
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decision support in science gateways and to identify gaps in 
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decision support in science gateways and to identify gaps in 
            
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participatory modeling approaches that informed the development of the 
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participatory modeling approaches that informed the development of the 
            
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Decision Pathways Framework presented in the accompanying journal 
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Decision Pathways Framework presented in the accompanying journal 
            
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article.\r\nPurpose: To characterize existing science gateway DSS 
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article.\r\nPurpose: To characterize existing science gateway DSS 
            
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capabilities and identify opportunities for integrating 
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capabilities and identify opportunities for integrating 
            
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stakeholder-driven, participatory approaches into gateway-based 
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stakeholder-driven, participatory approaches into gateway-based 
            
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decision support systems.\r\nScope: The dataset covers science 
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decision support systems.\r\nScope: The dataset covers science 
            
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gateways spanning multiple domains including water resources, carbon 
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gateways spanning multiple domains including water resources, carbon 
            
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capture and storage, neuroscience, geoscience, structural biology, 
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capture and storage, neuroscience, geoscience, structural biology, 
            
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astrophysics, healthcare, nanotechnology, and environmental science. 
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astrophysics, healthcare, nanotechnology, and environmental science. 
            
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For each gateway, the survey documents: (1) study focus, (2) gateway 
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For each gateway, the survey documents: (1) study focus, (2) gateway 
            
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platform and underlying technologies, (3) target application domain, 
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platform and underlying technologies, (3) target application domain, 
            
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and (4) specific DSS capabilities addressed.\r\nMethodology: A 
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and (4) specific DSS capabilities addressed.\r\nMethodology: A 
            
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systematic literature search of the Semantic Scholar corpus retrieved 
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systematic literature search of the Semantic Scholar corpus retrieved 
            
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498 potentially relevant papers using queries focused on science 
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498 potentially relevant papers using queries focused on science 
            
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gateways for decision support in participatory computational science. 
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gateways for decision support in participatory computational science. 
            
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Papers were screened against seven inclusion criteria: science 
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Papers were screened against seven inclusion criteria: science 
            
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gateways or web-based computational platforms, decision support 
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gateways or web-based computational platforms, decision support 
            
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applications, empirical evidence, participatory or collaborative 
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applications, empirical evidence, participatory or collaborative 
            
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approaches, collaborative features, real-world application, and 
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approaches, collaborative features, real-world application, and 
            
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high-performance or distributed computing. Thematic analysis extracted 
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high-performance or distributed computing. Thematic analysis extracted 
            
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structured data on reproducible environment design, participatory 
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structured data on reproducible environment design, participatory 
            
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science enablement, infrastructure sustainability, and real-time 
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science enablement, infrastructure sustainability, and real-time 
            
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analytics capabilities, resulting in 33 gateways meeting all 
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analytics capabilities, resulting in 33 gateways meeting all 
            
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criteria.\r\nAssociated Publication: Pierce, S.A. (2025). A Science 
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criteria.\r\nAssociated Publication: Pierce, S.A. (2025). A Science 
            
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Gateway Approach to Decision Support. SN Computer Science.",
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Gateway Approach to Decision Support. SN Computer Science.",
            
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  "tags": [
            
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    {
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      "display_name": "DSS paper",
            
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  "temporal_coverage_start": "2010-01-01",
            
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  "title": "Survey of Science Gateway Decision Support System 
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Capabilities Supplementary Materials",
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Capabilities Supplementary Materials",
            
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