Conducting an Epidemiologic Study and Making It FAIR: Reusable Tools and Procedures from a Population-Based Cohort Study Article Swipe
Carsten Oliver Schmidt
,
Stephan Struckmann
,
Maik Scholz
,
Janka Schössow
,
Dörte Radke
,
Adrian Richter
,
Achim Reineke
,
Elisa Kasbohm
,
Joany Mariño
,
Birgit Schauer
,
Kristin Henselin
,
Susanne Westphal
,
Darko Balke
,
Torsten Leddig
,
Henry Völzke
,
Jörg Henke
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3233/shti230292
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3233/shti230292
Conducting large-scale epidemiologic studies requires powerful software for electronic data capture, data management, data quality assessments, and participant management. There is also an increasing need to make studies and the data collected findable, accessible, interoperable, and reusable (FAIR). However, reusable software tools from major studies, underlying such needs, are not necessarily known to other researchers. Therefore, this work gives an overview on the main tools used to conduct the internationally highly networked population-based project Study of Health in Pomerania (SHIP), as well as approaches taken to improve its FAIRness. Deep phenotyping, formalizing processes from data capture to data transfer, with a strong emphasis on cooperation and data exchange have laid the foundation for a broad scientific impact with more than 1500 published papers to date.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3233/shti230292
- https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI230292
- OA Status
- hybrid
- Cited By
- 3
- References
- 7
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4377094238
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4377094238Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3233/shti230292Digital Object Identifier
- Title
-
Conducting an Epidemiologic Study and Making It FAIR: Reusable Tools and Procedures from a Population-Based Cohort StudyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-05-18Full publication date if available
- Authors
-
Carsten Oliver Schmidt, Stephan Struckmann, Maik Scholz, Janka Schössow, Dörte Radke, Adrian Richter, Achim Reineke, Elisa Kasbohm, Joany Mariño, Birgit Schauer, Kristin Henselin, Susanne Westphal, Darko Balke, Torsten Leddig, Henry Völzke, Jörg HenkeList of authors in order
- Landing page
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https://doi.org/10.3233/shti230292Publisher landing page
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https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI230292Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI230292Direct OA link when available
- Concepts
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Interoperability, Computer science, Data science, Data management, Data exchange, Software, Electronic data capture, Data quality, Population, Data collection, World Wide Web, Data mining, Engineering, Medicine, Environmental health, Operations management, Metric (unit), Mathematics, Statistics, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
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2025: 2, 2024: 1Per-year citation counts (last 5 years)
- References (count)
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7Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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