You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Every month, the HEAL CDE team automatically e-mails us an export from their REDCap questionnaire that they use to ask studies about which CRFs each study plans to use. We should make it as easy as possible to incorporate that information into the pipeline provided in this repository. This will require three steps:
Step 1. Extracting mappings from the export ("labels") file
The export ("labels") file is a CSV file with an odd structure:
The Record ID field will tell you when a study provided information on multiple measures.
The first row with a particular Record ID field contains the study information, including:
PI First and Last Name, e-mail, phone number
Project number
Project title
HEAL Research Program
Estimated study enrollment
Adult/Pediatric
Chronic/Acute pain
Columns for the core CRFs: Adult Demographics, PEG (for chronic pain), etc.
Will your study be using Spanish-language/other language CRFs?
How does your study intend to monitor opioid use?
Complete? -- not really useful to us but good to know
Survey Timestamp
For custom mappings, there are additional rows for each measure (with the same Record ID to tie things together), which uses:
Name of Measure
Name of Other Measure
Please include any translated versions of the Case Report Form(s) (CRF) in languages other than English, if applicable: (these are attachments, I suppose)
Measure Name
Domain
Measure Start Date
Measure End Date
Complete?
Please attach the license or permission for this Copyrighted measure.
Naturally this export will change if the input file changes, so having one Python script that handles this transform with minimal configuration and fails fast is probably the best idea. I anticipate that it will produce three outputs:
A studies.json file that has information from studies (identified by the project identifier) to the
A measures.json file that describes each measure, but grouping study identifiers.
Step 2. Harmonize
TODO
Step 3. Produce KGX files.
TODO
The text was updated successfully, but these errors were encountered:
Every month, the HEAL CDE team automatically e-mails us an export from their REDCap questionnaire that they use to ask studies about which CRFs each study plans to use. We should make it as easy as possible to incorporate that information into the pipeline provided in this repository. This will require three steps:
Step 1. Extracting mappings from the export ("labels") file
The export ("labels") file is a CSV file with an odd structure:
Record ID
field will tell you when a study provided information on multiple measures.Record ID
field contains the study information, including:Record ID
to tie things together), which uses:Naturally this export will change if the input file changes, so having one Python script that handles this transform with minimal configuration and fails fast is probably the best idea. I anticipate that it will produce three outputs:
Step 2. Harmonize
TODO
Step 3. Produce KGX files.
TODO
The text was updated successfully, but these errors were encountered: