Data Management for Health Data Reuse: ...
Document type :
Article dans une revue scientifique: Article original
DOI :
PMID :
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Title :
Data Management for Health Data Reuse: Proposal of a Standard Workflow and a R Tutorial with Jupyter Notebook.
Author(s) :
Lamer, Antoine [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Al Massati, Sanae [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Saint-Dizier, Chloé [Auteur]
Institut Lillois d'Ingénierie de la Santé [ILIS]
Fares, Emile [Auteur]
Chazard, Emmanuel [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Fruchart, Mathilde [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]

METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Al Massati, Sanae [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Saint-Dizier, Chloé [Auteur]
Institut Lillois d'Ingénierie de la Santé [ILIS]
Fares, Emile [Auteur]
Chazard, Emmanuel [Auteur]

METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Fruchart, Mathilde [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Journal title :
Studies in Health Technology and Informatics
Abbreviated title :
Stud Health Technol Inform
Volume number :
298
Pages :
82-86
Publication date :
2022-09-12
ISSN :
1879-8365
English keyword(s) :
Education
Data Science
Data reuse
Data management
Programming
Data Science
Data reuse
Data management
Programming
HAL domain(s) :
Sciences du Vivant [q-bio]
English abstract : [en]
The data collected in the clinical registries or by data reuse require some modifications in order to suit the research needs. Several common operations are frequently applied to select relevant patients across the cohort, ...
Show more >The data collected in the clinical registries or by data reuse require some modifications in order to suit the research needs. Several common operations are frequently applied to select relevant patients across the cohort, combine data from multiple sources, add new variables if needed and create unique tables depending on the research purpose. We carried out a qualitative survey by conducting semi-structured interviews with 7 experts in data reuse and proposed a standard workflow for health data management. We implemented a R tutorial based on a synthetic data set using Jupyter Notebook for a better understanding of the data management workflow.Show less >
Show more >The data collected in the clinical registries or by data reuse require some modifications in order to suit the research needs. Several common operations are frequently applied to select relevant patients across the cohort, combine data from multiple sources, add new variables if needed and create unique tables depending on the research purpose. We carried out a qualitative survey by conducting semi-structured interviews with 7 experts in data reuse and proposed a standard workflow for health data management. We implemented a R tutorial based on a synthetic data set using Jupyter Notebook for a better understanding of the data management workflow.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
Administrative institution(s) :
Université de Lille
CHU Lille
CHU Lille
Submission date :
2023-11-15T03:23:22Z
2024-04-05T11:43:37Z
2024-04-05T11:43:37Z
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