diff --git a/.secrets.baseline b/.secrets.baseline
index 2e574927ab..9da1ada7ed 100644
--- a/.secrets.baseline
+++ b/.secrets.baseline
@@ -3724,5 +3724,5 @@
       }
     ]
   },
-  "generated_at": "2024-03-01T21:46:43Z"
+  "generated_at": "2024-03-01T21:49:27Z"
 }
diff --git a/files/scripts/healdata/heal-cedar-data-ingest.py b/files/scripts/healdata/heal-cedar-data-ingest.py
index 730a3b36e8..71575e3c56 100644
--- a/files/scripts/healdata/heal-cedar-data-ingest.py
+++ b/files/scripts/healdata/heal-cedar-data-ingest.py
@@ -1,5 +1,5 @@
 import argparse
-import copy
+import json
 import sys
 import requests
 import pydash
@@ -35,16 +35,6 @@
     "Buisness Development": "Business Development"
 }
 
-# repository links
-REPOSITORY_STUDY_ID_LINK_TEMPLATE = {
-    "NIDDK Central": "https://repository.niddk.nih.gov/studies/<STUDY_ID>/",
-    "NIDA Data Share": "https://datashare.nida.nih.gov/study/<STUDY_ID>",
-    "NICHD DASH": "https://dash.nichd.nih.gov/study/<STUDY_ID>",
-    "ICPSR": "https://www.icpsr.umich.edu/web/ICPSR/studies/<STUDY_ID>",
-    "BioSystics-AP": "https://biosystics-ap.com/assays/assaystudy/<STUDY_ID>/",
-}
-
-
 # Defines field that we don't want to include in the filters
 OMITTED_VALUES_MAPPING = {
     "study_metadata.human_subject_applicability.gender_applicability": "Not applicable"
@@ -124,31 +114,6 @@ def get_client_token(client_id: str, client_secret: str):
     return token
 
 
-def get_related_studies(serial_num, hostname):
-    related_study_result = []
-
-    if serial_num:
-        mds = requests.get(f"http://revproxy-service/mds/metadata?nih_reporter.project_num_split.serial_num={serial_num}&data=true&limit=2000")
-        if mds.status_code == 200:
-            related_study_metadata = mds.json()
-
-            for (
-                related_study_metadata_key,
-                related_study_metadata_value,
-            ) in related_study_metadata.items():
-                title = (
-                    related_study_metadata_value.get(
-                        "gen3_discovery", {}
-                    )
-                    .get("study_metadata", {})
-                    .get("minimal_info", {})
-                    .get("study_name", "")
-                )
-                link = f"https://{hostname}/portal/discovery/{related_study_metadata_key}/"
-                related_study_result.append({"title": title, "link": link})
-    return related_study_result
-
-
 parser = argparse.ArgumentParser()
 
 parser.add_argument("--directory", help="CEDAR Directory ID for registering ")
@@ -249,67 +214,6 @@ def get_related_studies(serial_num, hostname):
                 mds_res["gen3_discovery"]["study_metadata"].update(cedar_record)
                 mds_res["gen3_discovery"]["study_metadata"]["metadata_location"]["other_study_websites"] = cedar_record_other_study_websites
 
-                # setup citations
-                doi_citation = mds_res["gen3_discovery"]["study_metadata"].get("doi_citation", "")
-                mds_res["gen3_discovery"]["study_metadata"]["citation"]["heal_platform_citation"] = doi_citation
-
-
-                # setup repository_study_link
-                data_repositories = (
-                    mds_res.get("study_metadata", {})
-                    .get("metadata_location", {})
-                    .get("data_repositories", [])
-                )
-                repository_citation = "Users must also include a citation to the data as specified by the local repository."
-                repository_citation_additional_text = ' The link to the study page at the local repository can be found in the "Data" tab.'
-                for repository in data_repositories:
-                    if (
-                        repository["repository_name"]
-                        and repository["repository_name"]
-                        in REPOSITORY_STUDY_ID_LINK_TEMPLATE
-                        and repository["repository_study_ID"]
-                    ):
-                        repository_study_link = REPOSITORY_STUDY_ID_LINK_TEMPLATE[
-                            repository["repository_name"]
-                        ].replace("<STUDY_ID>", repository["repository_study_ID"])
-                        repository.update({"repository_study_link": repository_study_link})
-                        if repository_citation_additional_text not in repository_citation:
-                            repository_citation += repository_citation_additional_text
-                if len(data_repositories):
-                    data_repositories[0] = {
-                        **data_repositories[0],
-                        "repository_citation": repository_citation,
-                    }
-                mds_res["gen3_discovery"]["study_metadata"][
-                    "metadata_location"
-                ]["data_repositories"] = data_repositories
-
-
-
-                # set up related studies
-                serial_num = None
-                try:
-                    serial_num = (
-                        mds_res
-                        .get("nih_reporter", {})
-                        .get("project_num_split", {})
-                        .get("serial_num", None)
-                    )
-                except Exception:
-                    print(f"Unable to get serial number for study")
-
-                if serial_num == None:
-                    print(f"Unable to get serial number for study")
-
-                related_study_result = get_related_studies(serial_num, hostname)
-                existing_related_study_result = mds_res.get("related_studies", [])
-                for related_study in related_study_result:
-                    if related_study not in existing_related_study_result:
-                        existing_related_study_result.append(copy.deepcopy(related_study))
-                mds_res["gen3_discovery"][
-                    "related_studies"
-                ] = copy.deepcopy(existing_related_study_result)
-
                 # merge data from cedar that is not study level metadata into a level higher
                 deleted_keys = []
                 for key, value in mds_res["gen3_discovery"]["study_metadata"].items():