Feat/202604 dataportal

ardac1prd/portal.ardac.org/values.yaml

@@ -116,11 +116,7 @@
   enabled: false
 
 guppy:
-  enabled: true
-  replicaCount: 2
-  image:
-    repository: quay.io/cdis/guppy
-    tag: "2026.03"
+  enabled: false
   indices:
     - index: ardac_case
       type: case
@@ -179,7 +175,7 @@
         args:
           - "--NotebookApp.base_url=/lw-workspace/proxy/"
           - "--NotebookApp.default_url=/lab"
           - "--NotebookApp.password=''" # pragma: allowlist secret
           - "--NotebookApp.token=''"
           - "--NotebookApp.shutdown_no_activity_timeout=5400"
           - "--NotebookApp.quit_button=False"
@@ -288,21 +284,21 @@
         "index": {
         "introduction": {
         "heading": "AlcHepNet Research Data Commons",
         "text": "The AlcHepNet Research Data Commons, or <a href='https://ardac.org/'>ARDaC</a>, is an integrative environment for exploring the clinical and omics data generated by AlcHepNet and related translational studies, and for investigators within the network to access data. ARDaC is sponsored by National Institute on Alcohol Abuse and Alcoholism.",
         "link": "/submission"
         },
         "buttons": [
         {
         "name": "Define Data Field",
         "icon": "data-field-define",
         "body": "The ARDaC Data Commons defines the data in a general way and follows the convention of Genomic Data Commons (GDC). Please study the ARDaC Data Dictionary before you start browsing.",
         "link": "/DD",
         "label": "Learn more"
         },
         {
         "name": "Explore Data",
         "icon": "data-explore",
         "body": "The Exploration Page allows filtering data for targeted visualization, which gives you insights and a clear overview under selected factors.",
         "link": "/explorer",
         "label": "Explore data"
         },
@@ -316,7 +312,7 @@
         {
         "name": "Submit Data",
         "icon": "data-submit",
         "body": "Submit Data based on the ARDaC Data Dictionary. Currently, only the AlcHepNet DCC is authorized to submit data.",
         "link": "/submission",
         "label": "Submit data"
         }
@@ -403,7 +399,7 @@
         "login": {
         "title": "ARDaC: Alcoholic Hepatitis Network Research Data Commons",
         "subTitle": "Indiana University Data Coordinating Center",
         "text": "The AlcHepNet Research Data Commons, or ARDaC, is an integrative environment for exploring the clinical and omics data generated by AlcHepNet and related translational studies, and for investigators within the network to access data. ARDaC is sponsored by National Institute on Alcohol Abuse and Alcoholism. ",
         "contact": "If you have any question please contact the ARDaC Development Team at ",
         "email": "ardac@iu.edu",
         "image": "/../../../../custom/sponsors/gitops-sponsors/ardac_gene"
@@ -557,6 +553,8 @@
                 "race",
                 "actarm",
                 "ethnicity",
+                "marital",
+                "education",
                 "age_at_index",
                 "drinking_frequency",
                 "aki_status",
@@ -897,7 +895,7 @@
                 "title": "Sex"
               },
               "race": {
-                "chartType": "pie",
+                "chartType": "bar",
                 "title": "Race"
               },
               "ethnicity": {
@@ -1076,7 +1074,7 @@
                 "title": "Sex"
               },
               "race": {
-                "chartType": "pie",
+                "chartType": "bar",
                 "title": "Race"
               },
               "PI_name": {
@@ -1379,7 +1377,7 @@
         "showArboristAuthzOnProfile": true,
         "showFenceAuthzOnProfile": false
       }
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     css: |
       :root {
         --primary-color: #512A44;
@@ -1638,8 +1636,8 @@
           padding: 0 10%;
         }
       }
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"
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"
 
 requestor:
   enabled: false
@@ -1761,6 +1759,8 @@
                   - None: None
               - name: year_of_birth
               - name: age_at_index
+              - name: marital
+              - name: education
           - path: audits
             props:
               - name: drinking_frequency
@@ -1827,14 +1827,14 @@
       - name: ardac_follow_up
         parent_props:
           - path: cases.studies[study_name,study_id:submitter_id]
           - path: cases[pat_id:submitter_id, case_arm:actarm,case_group:cohort,study_site,aki_status,days_180_aki,days_180_survival,days_90_aki,days_90_survival,days_to_aki]
             props:
               - name: cohort
                 value_mappings:
                   - Heavy Drinker with Alcoholic Hepatits: AH cases
                   - Heavy Drinker without Alcoholic Hepatits: Heavy Drinking Controls
                   - Healthy Donor: Healthy Controls
-          - path: demographics[gender,race,ethnicity,year_of_birth,age_at_index]
+          - path: demographics[gender,race,ethnicity,marital,education,year_of_birth,age_at_index]
             value_mappings:
               - female: Female
               - male: Male
@@ -1898,7 +1898,7 @@
           - path: follow_ups[follow_up_id:submitter_id, visit_day].cases[pat_id:submitter_id, case_arm:actarm].studies[study_name, study_id:submitter_id]
           - path: follow_ups.cases[pat_id:submitter_id, case_arm:actarm, case_group:cohort, study_site, aki_status, days_180_aki, days_180_survival, days_90_aki, days_90_survival, days_to_aki]
           - path: labs[lab_id:submitter_id, lab_name:name_of_institute, PI_name]
-          - path: follow_ups.demographics[gender, race, ethnicity, year_of_birth, age_at_index]
+          - path: follow_ups.demographics[gender, race, ethnicity, marital, education, year_of_birth, age_at_index]
 
       - name: ardac_lab_result
         doc_type: molecular_test
@@ -1907,7 +1907,7 @@
         parent_props:
           - path: follow_ups[follow_up_id:submitter_id, visit_day].cases[pat_id:submitter_id, case_arm:actarm].studies[study_name, study_id:submitter_id]
           - path: follow_ups.cases[pat_id:submitter_id, case_arm:actarm, case_group:cohort, study_site, aki_status, days_180_aki, days_180_survival, days_90_aki, days_90_survival, days_to_aki]
-          - path: follow_ups.demographics[gender, race, ethnicity, year_of_birth, age_at_index]
+          - path: follow_ups.demographics[gender, race, ethnicity, marital, education, year_of_birth, age_at_index]
           - path: aliquots.labs[lab_id:submitter_id, lab_name:name_of_institute, PI_name]
         props:
           - name: project_id