Metadata Schema of Common Data Elements for Traumatic Brain Injury (v4)
收藏DataCite Commons2021-07-20 更新2025-04-15 收录
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https://kg.ebrains.eu/search/instances/Dataset/75b01958-b59a-42a1-9e1d-326532beabee
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Data in the Medical Informatics Platform (MIP) resides in hospital servers and never leaves the hospital. Analyses and experiments are executed with respect to that principle while preserving patients’ anonymity making it infeasible for their identity to be inferred. Hospitals importing their data to the Medical Informatics Platform join a federation so as to run analyses on data from other hospital nodes as well. Each federation in the MIP refers to a specific Medical Condition. Here the metadata for the federation of hospitals that studies traumatic brain injury is presented. This metadata schema, consisting of a total of 17 variables, has the following main variable categories: **1. Demographics** - 2 variables for basic demographic information that does not reveal patient’s identity **2. Neurological assessment** - 6 variables for Glasgow Coma Scale1 and pupil reactivity scores **3. Imaging** - 4 multinomial variables for cisternal compression, epidural hematoma, midline shift, marshall classification **4. Second insults** - 2 variables for hypoxic and hypotensive episodes **5. Outcomes** - 1 variable for the Glasgow Outcome Scale Extended score **6. Laboratory tests** - Values of glucose and hemoglobin level The metadata viewing and management is done by Data Catalogue, a central web portal of MIP. Data Catalogue offers presentation, search and hierarchical visualisation of metadata information for datasets imported into the MIP while providing metadata management features to authorized users. One of its features is parsing metadata descriptions in XLSX files and generating their equivalent in a hierarchical JSON format which the MIP uses. In this repository we upload metadata in both XLSX and the generated JSON format. A new data version of Metadata Schema of CDE for TBI can be found here: Muraleedharan et al. (2020) [Data set, v5] [DOI: 10.25493/YBY9-QA](https://kg.ebrains.eu/search/instances/Dataset/a526f0c6-cbd4-4864-ae3a-87ad2cb7496a)
提供机构:
EBRAINS
创建时间:
2020-06-18



