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- W3215692357 abstract "<b>Background:</b> United Kingdom Refractory Asthma Stratification Programme (RASP-UK) is a randomised trial of corticosteroid optimisation in severe asthma based on composite biomarkers [1]. TranSMART is an open-source data warehouse and analysis platform developed to store large amounts of clinical and omics data[2]. Using a data management platform ensures: accessibility, sustainability and transparency of data which is essential for future respiratory projects within the EU. <b>Aim:</b> Our aim was to deploy a tranSMART platform and to apply the extract-transform-load (ETL) process for RASP-UK datasets and with a 100% accuracy. <b>Methods:</b> TranSMART were deployed on the Data Science Institute (DSI) servers (https://rasp.dsi.ic.ac.uk/transmart/). After the ETL process data was uploaded to the tranSMART platform (Fig 1-A, C). The accuracy of the ETL process was confirmed by a full recompile of the study dataset from TranSMART and a field-by-field comparison with the index data (Fig 1-B). Fig1-A is a screenshot of the platform. B shows the ETL and the testing process. C shows a summary of the data. <b>Results:</b> A tranSMART platform were deployed and RASP-UK datasets were uploaded to the platform with a 100% accuracy. <b>Conclusions:</b> TranSMART platform contributes to the accessibility and sustainability of large data-centred projects." @default.
- W3215692357 created "2021-12-06" @default.
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- W3215692357 date "2021-09-05" @default.
- W3215692357 modified "2023-10-09" @default.
- W3215692357 title "A data management and analysis platform for RASP-UK multiomics clinical datasets" @default.
- W3215692357 doi "https://doi.org/10.1183/13993003.congress-2021.oa4058" @default.
- W3215692357 hasPublicationYear "2021" @default.
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