Adding Data to your study

ADDING DATA

Adding new records to a study

There are three places you will find the trigger to add new records to your study:

1. Dashboard > Study Title: To the right of the Study Title for each study in your dashboard you will find a link to add new records to the related study.
2. Study Tile: In the Studies section, each tile has an "Add Data" button.
3. Data > Add New Record Button: At the top of the Data page there is an "Add New Record" button.

Clicking any of these buttons or links will bring you to the data entry form for the related study.

Each form has a Patient Id field that contains an auto generated Id. If you prefer to use your own Id structure for your records you can enter it in this field to override the default.

When you have completed the record entry, click the "Submit" button. Your record will be saved and the form will reload, once again providing a default patient Id.

Adding new records in bulk

For users who are migrating from a previous 'offline' version of their study or want to bulk add many records at once, clinicGraph allows users to upload a .csv file containing multiple records. To add records in bulk:

1. Navigate to the 'Data' page for the relevant study
2. Click the 'Import CSV' button at the top of the page
3. A modal will open with a file upload field
4. Select the CSV file containing records
5. Click 'Import' to add the records from the selected CSV file to the study. The records will be imported and the user will see a confirmation message notifying them of the number of records imported. Any errors will also be displayed.

Adding records to a .csv file

Transfering the records from your existing 'offline' study app into the .csv template is easy:

1. Download the sample .csv template provided by clinicGraph.
2. Copy the data cells from your current Excel file. These would be all cells containing data from columns A - Q.
3. Paste these copied cells into the .csv file, making sure not to overwrite the header row. Look over the copied data to make sure everything is in the correct columns.
4. Save the CSV file.
5. Upload the completed CSV file using the steps above.