Sociome Data Commons: A scalable and sustainable platform for investigating the full social context and determinants of health Article Swipe
Sandra Tilmon
,
Sharmilee M. Nyenhuis
,
Anthony Solomonides
,
Bruno Barbarioli
,
Ankur Bhargava
,
Suzi Birz
,
Kathryn Bouzein
,
Celine Cardenas
,
Bradley F. Carlson
,
Ellen Cohen
,
Emily Dillon
,
Brian Furner
,
Zhong Huang
,
Julie A. Johnson
,
Nivedha Krishnan
,
Kevin Lazenby
,
Kaitlyn Li
,
Sonya Makhni
,
Doriane Miller
,
Jonathan Ozik
,
Carlos Santos
,
Marc Sleiman
,
Julian Solway
,
Sanjay Krishnan
,
Samuel L. Volchenboum
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1017/cts.2023.670
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1017/cts.2023.670
Background/Objective: Non-clinical aspects of life, such as social, environmental, behavioral, psychological, and economic factors, what we call the sociome, play significant roles in shaping patient health and health outcomes. This paper introduces the Sociome Data Commons (SDC), a new research platform that enables large-scale data analysis for investigating such factors. Methods: This platform focuses on “hyper-local” data, i.e., at the neighborhood or point level, a geospatial scale of data not adequately considered in existing tools and projects. We enumerate key insights gained regarding data quality standards, data governance, and organizational structure for long-term project sustainability. A pilot use case investigating sociome factors associated with asthma exacerbations in children residing on the South Side of Chicago used machine learning and six SDC datasets. Results: The pilot use case reveals one dominant spatial cluster for asthma exacerbations and important roles of housing conditions and cost, proximity to Superfund pollution sites, urban flooding, violent crime, lack of insurance, and a poverty index. Conclusion: The SDC has been purposefully designed to support and encourage extension of the platform into new data sets as well as the continued development, refinement, and adoption of standards for dataset quality, dataset inclusion, metadata annotation, and data access/governance. The asthma pilot has served as the first driver use case and demonstrates promise for future investigation into the sociome and clinical outcomes. Additional projects will be selected, in part for their ability to exercise and grow the capacity of the SDC to meet its ambitious goals.
Related Topics
Concepts
Geospatial analysis
Data governance
Context (archaeology)
Metadata
Social determinants of health
Data quality
Corporate governance
Computer science
Data science
Business
Process management
Knowledge management
Medicine
Public health
Geography
Marketing
World Wide Web
Nursing
Metric (unit)
Finance
Cartography
Archaeology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1017/cts.2023.670
- https://www.cambridge.org/core/services/aop-cambridge-core/content/view/A54F64B1439CF89071171343A5506BDA/S2059866123006702a.pdf/div-class-title-sociome-data-commons-a-scalable-and-sustainable-platform-for-investigating-the-full-social-context-and-determinants-of-health-div.pdf
- OA Status
- gold
- Cited By
- 6
- References
- 40
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4388460400
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4388460400Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1017/cts.2023.670Digital Object Identifier
- Title
-
Sociome Data Commons: A scalable and sustainable platform for investigating the full social context and determinants of healthWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-01-01Full publication date if available
- Authors
-
Sandra Tilmon, Sharmilee M. Nyenhuis, Anthony Solomonides, Bruno Barbarioli, Ankur Bhargava, Suzi Birz, Kathryn Bouzein, Celine Cardenas, Bradley F. Carlson, Ellen Cohen, Emily Dillon, Brian Furner, Zhong Huang, Julie A. Johnson, Nivedha Krishnan, Kevin Lazenby, Kaitlyn Li, Sonya Makhni, Doriane Miller, Jonathan Ozik, Carlos Santos, Marc Sleiman, Julian Solway, Sanjay Krishnan, Samuel L. VolchenboumList of authors in order
- Landing page
-
https://doi.org/10.1017/cts.2023.670Publisher landing page
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https://www.cambridge.org/core/services/aop-cambridge-core/content/view/A54F64B1439CF89071171343A5506BDA/S2059866123006702a.pdf/div-class-title-sociome-data-commons-a-scalable-and-sustainable-platform-for-investigating-the-full-social-context-and-determinants-of-health-div.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://www.cambridge.org/core/services/aop-cambridge-core/content/view/A54F64B1439CF89071171343A5506BDA/S2059866123006702a.pdf/div-class-title-sociome-data-commons-a-scalable-and-sustainable-platform-for-investigating-the-full-social-context-and-determinants-of-health-div.pdfDirect OA link when available
- Concepts
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Geospatial analysis, Data governance, Context (archaeology), Metadata, Social determinants of health, Data quality, Corporate governance, Computer science, Data science, Business, Process management, Knowledge management, Medicine, Public health, Geography, Marketing, World Wide Web, Nursing, Metric (unit), Finance, Cartography, ArchaeologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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6Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 3Per-year citation counts (last 5 years)
- References (count)
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40Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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