diff --git a/CHANGES.rst b/CHANGES.rst
index 09c0200ab..ce0e65a8f 100644
--- a/CHANGES.rst
+++ b/CHANGES.rst
@@ -22,13 +22,22 @@ dq_init
 - Copy reference pixels during ``dq_init`` to avoid larger files in later
   processing steps [#1121]
 
+resample
+--------
+
+- Update location of ``basic`` attributes. [#1131]
+
+outlier_detection
+-----------------
+
+- Update location of ``basic`` attributes. [#1131]
+
 ramp_fitting
 ------------
 
 - Changed image units from e/s to DN/s (and added support for MJy/sr). Added gain reduction to convert to these units. [#1128]
 
 
-
 0.14.0 (2024-02-12)
 ===================
 
diff --git a/romancal/outlier_detection/outlier_detection.py b/romancal/outlier_detection/outlier_detection.py
index e84bca95f..61989d75d 100644
--- a/romancal/outlier_detection/outlier_detection.py
+++ b/romancal/outlier_detection/outlier_detection.py
@@ -107,9 +107,7 @@ def do_detection(self):
             self.create_median(drizzled_models), unit=median_model.data.unit
         )
         median_model_output_path = self.make_output_path(
-            basepath=median_model.meta.basic.filename.replace(
-                self.resample_suffix, ".asdf"
-            ),
+            basepath=median_model.meta.filename.replace(self.resample_suffix, ".asdf"),
             suffix="median",
         )
         median_model.save(median_model_output_path)
diff --git a/romancal/resample/resample.py b/romancal/resample/resample.py
index c4f182013..5040c8424 100644
--- a/romancal/resample/resample.py
+++ b/romancal/resample/resample.py
@@ -194,7 +194,7 @@ def resample_many_to_many(self):
             output_root = "_".join(
                 exposure[0].meta.filename.replace(output_type, "").split("_")[:-1]
             )
-            output_model.meta.basic.filename = f"{output_root}_outlier_i2d{output_type}"
+            output_model.meta.filename = f"{output_root}_outlier_i2d{output_type}"
 
             # Initialize the output with the wcs
             driz = gwcs_drizzle.GWCSDrizzle(
@@ -260,7 +260,7 @@ def resample_many_to_one(self):
         Used for level 3 resampling
         """
         output_model = self.blank_output.copy()
-        output_model.meta.basic.filename = self.output_filename
+        output_model.meta.filename = self.output_filename
         output_model.meta["resample"] = maker_utils.mk_resample()
         output_model.meta.resample["members"] = []
         output_model.meta.resample.weight_type = self.weight_type
@@ -703,7 +703,6 @@ def l2_into_l3_meta(l3_meta, l2_meta):
     l3_meta.basic.survey = l2_meta.observation.survey
     l3_meta.basic.optical_element = l2_meta.instrument.optical_element
     l3_meta.basic.instrument = l2_meta.instrument.name
-    l3_meta.basic.telescope = l2_meta.telescope
     l3_meta.coordinates = l2_meta.coordinates
     l3_meta.program = l2_meta.program
 
diff --git a/romancal/resample/tests/test_resample.py b/romancal/resample/tests/test_resample.py
index 98c91caf4..408c1841c 100644
--- a/romancal/resample/tests/test_resample.py
+++ b/romancal/resample/tests/test_resample.py
@@ -451,7 +451,7 @@ def test_resampledata_do_drizzle_many_to_one_single_input_model(wfi_sca1):
 
     # Assert
     assert len(output_models) == 1
-    assert output_models[0].meta.basic.filename == resample_data.output_filename
+    assert output_models[0].meta.filename == resample_data.output_filename
     np.testing.assert_allclose(flat_1, flat_2)