Update infores_catalog.yaml

infores_catalog.yaml

@@ -1638,7 +1638,7 @@ information_resources:
     status: released
     name: Translator knowledge_assertion Query Service
     xref:
-      - https://github.com/NCATSTranslator/Translator-All/wiki/Translator-knowledge_assertion-Query-Service
+      - https://github.com/NCATSTranslator/Translator-All/wiki/Translator-Curated-Query-Service
     synonym:
       - CQS
     knowledge_level: prediction
@@ -3217,6 +3217,31 @@ information_resources:
       - https://github.com/NCATSTranslator/Translator-All/wiki/nSides
     knowledge_level: knowledge_assertion
     agent_type: not_provided
+  - id: infores:openhealthdata-carolina
+    status: released
+    name: Open Health Data @ Carolina
+    xref:
+      - https://github.com/NCATSTranslator/Translator-All/wiki/Open-Health-Data-at-Carolina
+    synonym:
+      - OHD@Carolina, Open Health Data @ Carolina
+    knowledge_level: statistical_association
+    agent_type: not_provided
+    consumed_by:
+      - infores:automat-openhealthdata-carolina
+    consumes:
+    description: >-
+      Open Health Data @ Carolina provides access to counts
+      and frequencies (i.e., EHR prevalence) of conditions, procedures, drug exposures,
+      and patient demographics, and the co-occurrence frequencies between them. Count
+      and frequency data were derived from UNC Health's OMOP database on a five-year cohort
+      (~6M patients over years 2018 through 2022) of all UNC Health patients, 
+      including their inpatient and outpatient visit data. Counts represent the number of 
+      patients associated with a given concept, e.g., diagnosed with a condition, 
+      exposed to a drug, or who had a procedure. Frequencies are the number of unique patients
+      associated with the concept divided by the total number of patients in the dataset, 
+      i.e., prevalence in the electronic health records. To protect patient privacy, 
+      all concepts and pairs of concepts where the count was <= 10 were excluded, 
+      and counts were randomized by the Poisson distribution.
   - id: infores:ols
     status: released
     name: Ontology Lookup Service API