diff --git a/toardb/data/crud.py b/toardb/data/crud.py
index 6b878e237e0e774047b91bbac59851ffde424704..d3d3aab7f681c4410420cce2357a59b7bc99440b 100644
--- a/toardb/data/crud.py
+++ b/toardb/data/crud.py
@@ -309,42 +309,6 @@ def create_data_record(db: Session, engine: Engine,
     return JSONResponse(status_code=status_code, content=message)
 
 
-def create_data_record_with_flag(db: Session, engine: Engine,
-        series_id: int, datetime: dt.datetime,
-        value: float, flag: str, version: str,
-        author_id: int):
-    flag_num = get_value_from_str(toardb.toardb.DF_vocabulary,flag)
-    data_dict = {"datetime": datetime,
-                 "value": value,
-                 "flags": flag_num,
-                 "version": version,
-                 "timeseries_id": series_id}
-    data = models.Data(**data_dict)
-    db.add(data)
-    result = db.commit()
-    db.refresh(data)
-    # create changelog entry
-    type_of_change = get_value_from_str(toardb.toardb.CL_vocabulary,"Created")
-    description="data record created"
-    db_changelog = TimeseriesChangelog(description=description, timeseries_id=series_id, author_id=author_id, type_of_change=type_of_change,
-                                       old_value='', new_value='', period_start=datetime, period_end=datetime, version=version)
-    db.add(db_changelog)
-    db.commit()
-    # adjust data_start_date, data_end_date
-    timeseries = get_timeseries(db=db,timeseries_id=series_id)
-    db.rollback()
-    datetime = datetime.replace(tzinfo=timeseries.data_end_date.tzinfo)
-    if datetime < timeseries.data_start_date:
-        timeseries.data_start_date = datetime
-    if datetime > timeseries.data_end_date:
-        timeseries.data_end_date = datetime
-    db.add(timeseries)
-    db.commit()
-    status_code=200
-    message='Data successfully inserted.'
-    return JSONResponse(status_code=status_code, content=message)
-
-
 def insert_dataframe (db: Session, engine: Engine, df: pd.DataFrame, toarqc_config_type: str = 'standard', dry_run: bool = False, parameter: str = 'o3', preliminary: bool = False, force: bool = False):
     # df: pandas.DataFrame
     #     index: datetime