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How to add new Dataset
Kantemir Tvorogov edited this page Aug 8, 2023
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At first, we will describe how to create a regular dataset. For datasets with special parameters, see the information below
- Select required drug programme in the Drug Programmes section.
- Click Add in the Clinical Study Data Sets section to add a new dataset.
- Enter Dataset ID for a new dataset into the Search field and click Search.(Dataset ID should be which not exist)
- If no dataset was found, Add New button appears. Click the button.
- The next step allows a user to configure a new dataset. Here a user can set the following dataset parameters:
- Drug ID - Any drug programme
- Dataset ID - Any
- Dataset name -Any
- Clinical study code -Any
- Clinical study name -Any
- Study phase - Any
- Dataset study type - Any
- Dataset study delivery model -Any
- Planned date for first subject in - any date in the past
- Planned date of database lock - any date in the future
- Primary source folder -Any Leave empty Set the parameters and click Next
- The next step allows a user to map source clinical data into the system. User can import mapping as .csv file by clicking Import or add mapping manually. For add mapping manually click
- Add to add one mapping. Pop-up window appear
- Select Data type - select required data type from the drop-down list;
- Select radio button "I will enter the file path manually" and enter path manually (Depending on ACUITY version, a file could be stored in Azure file storage (azure-file://acuitydata/..) or on local storage (/usr/local/patientdata/))
- The next step allows a user to specify the way baseline values are calculated in ACUITY, if this way should differ from the common one. User can miss it and press Next button
- The next step allows a user to map labcode decoding information other than AZ RAW. User can miss it and press Next button
- The next step allows a user to exclude some values from the visualization, if required. User can miss it and press Next button
- The next step allows a user to group sets of subjects that may be of special interest in current dataset. User can miss it and press Next button
- The next step allows a user to perform the following actions with sets of subjects that were recently grouped:
- Assign to a specific type of cohort;
- Annotate with additional information. User can miss it and press Next button
- The next step allows a user to select custom adverse events and/or lab groupings to use them in visualizations. User can miss it and press Next button
- The next step allows a user to select subject groupings that will be used in the visualizations. User can miss it and press Next button
- The next step allows a user to select genomic profiles to be used for the Genomic Profile visualization. User can miss it and press Next button
- Select "I confirm that above data ..." and press Finish button
- Check that data is loaded
- Select the dataset in Clinical Study Data Sets and press View data load report
- Or run Scheduler , find your dataset and check the status
- System Requirements
- Azure Setup
- Machine Insights and CBioPortal Integration
- SSL Certificates
- Applications Setup
- Application Spring Configs
- Profiles
- Migrating to ACUITY 9
- Github packages and Docker images
- Result data tables
- Mapping data tables
- Third party solution tables
- Other data tables
- Tables to delete