Last modified by melissargos on 2024/10/11 18:22
From version 16.1
edited by bschaffha
on 2024/10/10 13:46
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To version 16.2
edited by bschaffha
on 2024/10/10 13:48
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59 59  
60 60  **Figure 2:** MIP Data Governance Flow
61 61  
62 -//This illustration depicts how data governance and data flow in the MIP are organised and how the legal framework and data management are interlinked. Decision points are indicated.//
62 +//T(% class="small" %)his illustration depicts how data governance and data flow in the MIP are organised and how the legal framework and data management are interlinked. Decision points are indicated.//
63 63  
64 64  === MIP concepts and definitions ===
65 65  
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87 87  
88 88  Diseases are often known to be medical conditions that are associated with specific symptoms and signs.
89 89  
90 -​
90 +== MIP Data Flow ==
91 +
92 +​[[image:1728560774193-188.png]]
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95 +|(((
96 +**Figure 3**// MIP Data Flow//
97 +
98 +//T(% class="small" %)his diagramme illustrates the MIP Data Flow, indicating processing steps prior to data upload and steps after data upload to the MIP.  EHR – electronic health record, MRI - magnetic resonance imaging, ETL - data integration (extract, transform, load), CDE – common data elements, ML – machine learning, GUI – graphical user interface, VM – virtual machine. Data pre-processing: extract data from EHR records and produce pseudonymised data in .csv format; optional Step1: extract brain volumes from MRI images and merge with data extracted from EHR records; Data Quality and Harmonisation: Prepare CDE: if CDE exists – Steps 2B, 4 and 5 are followed; if CDE needs to be prepared, first Steps 2A and 3A need to be performed, followed by Steps 2B, 4 and 5. Data Analysis and ML: anonymised dataset is uploaded either to the federated node in the institution or the dedicated VM on EBRAINS CSCS. Data Analysis can be performed via the Federation Service Layer and User Interface: use of predefined federated algorithms, aggregated results will be retrieved via the GUI.//
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95 95  (% class="col-xs-12 col-sm-4" %)