diff --git a/.github/workflows/publish_dev.yml b/.github/workflows/publish_dev.yml
index 3783d6c7..35235fed 100644
--- a/.github/workflows/publish_dev.yml
+++ b/.github/workflows/publish_dev.yml
@@ -33,5 +33,5 @@ jobs:
       - name: Create and upload schemas
         run: |
           uv sync --locked
-          uv run python -m biodata_schema.utils.json_writer --output $TEMP_DIR --attach-version
+          uv run python -m biodata_schema.utils.json_writer --output $TEMP_DIR --attach-version --draft
           uvx --from awscli aws s3 sync $TEMP_DIR s3://${AWS_DATA_SCHEMA_BUCKET}/$S3_PREFIX
diff --git a/.github/workflows/tag_and_publish_main.yml b/.github/workflows/tag_and_publish_main.yml
index a2ff7c8e..34251e5c 100644
--- a/.github/workflows/tag_and_publish_main.yml
+++ b/.github/workflows/tag_and_publish_main.yml
@@ -66,5 +66,5 @@ jobs:
       - name: Create and upload schemas
         run: |
           uv sync --locked
-          uv run python -m biodata_schema.utils.json_writer --output $TEMP_DIR --attach-version
+          uv run python -m biodata_schema.utils.json_writer --output $TEMP_DIR --attach-version --draft
           uvx --from awscli aws s3 sync $TEMP_DIR s3://${AWS_DATA_SCHEMA_BUCKET}/$S3_PREFIX
diff --git a/pyproject.toml b/pyproject.toml
index 8ff4d455..ddbd0ac2 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -14,7 +14,7 @@ readme = "README.md"
 dynamic = ["version"]
 
 dependencies = [
-    'biodata-models>=1.0.1,<2',
+    'biodata-models>=2.0.1,<3',
     'pydantic>=2.7, <3',
     'pydantic-extra-types',
     'tzdata',
@@ -25,11 +25,12 @@ dev = [
     'argparse',
     'codespell',
     'dictdiffer',
+    'jsonschema>=4.23,<5',
     'pydantic>=2.7, !=2.9.0, !=2.9.1',
     'pytest>=8.3',
     'pytest-cov>=6',
     'ruff>=0.11',
-    'semver',
+    'semver>=3.0.0',
 ]
 
 docs = [
diff --git a/src/biodata_schema/__init__.py b/src/biodata_schema/__init__.py
index c81fc49f..62a53c69 100755
--- a/src/biodata_schema/__init__.py
+++ b/src/biodata_schema/__init__.py
@@ -1,3 +1,3 @@
 """base module for biodata-schema"""
 
-__version__ = "3.0.0"
+__version__ = "4.0.0"
diff --git a/src/biodata_schema/base.py b/src/biodata_schema/base.py
index 65ffebde..565e2669 100644
--- a/src/biodata_schema/base.py
+++ b/src/biodata_schema/base.py
@@ -30,6 +30,10 @@
 MAX_FILE_SIZE = 500 * 1024  # 500KB
 
 
+class DraftRequirement:
+    """Marker for fields required by the draft metadata schema."""
+
+
 def _coerce_naive_datetime(v: Any, handler: ValidatorFunctionWrapHandler) -> AwareDatetime:
     """Validator to wrap around AwareDatetime to set a default timezone as user's locale"""
     try:
diff --git a/src/biodata_schema/components/subjects.py b/src/biodata_schema/components/subjects.py
index 749ca46a..21503fb4 100644
--- a/src/biodata_schema/components/subjects.py
+++ b/src/biodata_schema/components/subjects.py
@@ -5,6 +5,7 @@
 from enum import Enum
 from typing import Annotated, List, Optional
 
+from biodata_models.cell_line import CellLineModel
 from biodata_models.organizations import Organization
 from biodata_models.pid_names import PIDName
 from biodata_models.species import Species, Strain
@@ -195,3 +196,16 @@ class CalibrationObject(DataModel):
     objects: Optional[list[Device]] = Field(
         default=None, title="Objects", description="For calibration objects that are built up from one or more devices."
     )
+
+
+class CellLine(DataModel):
+    """Description of a cultured cell line"""
+
+    cell_line_name: str = Field(..., title="Cell line name")
+    cell_line_type: CellLineModel = Field(..., title="Cell line type")
+    species: Species.ONE_OF = Field(..., title="Species")
+    protein: PIDName = Field(..., title="Protein labeled", description="Protein uses UniProt registry")
+    gene: PIDName = Field(..., title="Gene targeted", description="Gene uses NCBI taxonomy")
+    cell_structure: str = Field(..., title="Cell structure protein found in")  # TODO: ontology or enum in model?
+    fluorescent_protein: PIDName = Field(..., title="Fluorescent protein", description="Uses FPbase")
+    clone_number: Optional[int] = Field(default=None, title="Clone number")
diff --git a/src/biodata_schema/core/acquisition.py b/src/biodata_schema/core/acquisition.py
index 6d4e8cff..80d9b169 100644
--- a/src/biodata_schema/core/acquisition.py
+++ b/src/biodata_schema/core/acquisition.py
@@ -18,6 +18,7 @@
     DataCoreModel,
     DataModel,
     DiscriminatedList,
+    DraftRequirement,
     GenericModel,
 )
 from biodata_schema.components.configs import (
@@ -389,7 +390,7 @@ class Acquisition(ProtocolListMixin, DataCoreModel):
     )
 
     # Acquisition metadata
-    acquisition_start_time: AwareDatetimeWithDefault = Field(
+    acquisition_start_time: Annotated[AwareDatetimeWithDefault, DraftRequirement] = Field(
         ...,
         title="Acquisition start time",
         description="During validation, timezone information will be moved into the acquisition_start_tz field.",
diff --git a/src/biodata_schema/core/data_description.py b/src/biodata_schema/core/data_description.py
index fbe1e1e8..a4e09777 100644
--- a/src/biodata_schema/core/data_description.py
+++ b/src/biodata_schema/core/data_description.py
@@ -1,7 +1,7 @@
 """Generic metadata classes for data"""
 
 import re
-from typing import List, Literal, Optional
+from typing import Annotated, List, Literal, Optional
 
 from biodata_models.data_name_patterns import (
     DataLevel,
@@ -15,7 +15,7 @@
 from biodata_models.organizations import Organization
 from pydantic import Field, SkipValidation, model_validator
 
-from biodata_schema.base import AwareDatetimeWithDefault, DataCoreModel, DataModel
+from biodata_schema.base import AwareDatetimeWithDefault, DataCoreModel, DataModel, DraftRequirement
 from biodata_schema.components.identifiers import Person
 
 
@@ -35,7 +35,7 @@ class DataDescription(DataCoreModel):
     _DESCRIBED_BY_URL = DataCoreModel._DESCRIBED_BY_BASE_URL.default + "biodata_schema/core/data_description.py"
     describedBy: str = Field(default=_DESCRIBED_BY_URL, json_schema_extra={"const": _DESCRIBED_BY_URL})
     schema_version: SkipValidation[Literal["3.0.0"]] = Field(default="3.0.0")
-    license: License = Field(default=License.CC_BY_40, title="License")
+    license: Annotated[License, DraftRequirement] = Field(default=License.CC_BY_40, title="License")
 
     subject_id: Optional[str] = Field(
         default=None,
@@ -89,7 +89,7 @@ class DataDescription(DataCoreModel):
         title="Investigators",
         min_length=1,
     )
-    project_name: str = Field(
+    project_name: Annotated[str, DraftRequirement] = Field(
         ...,
         pattern=DataRegex.NO_SPECIAL_CHARS_EXCEPT_SPACE.value,
         description="A name for a set of coordinated activities intended to achieve one or more objectives.",
diff --git a/src/biodata_schema/core/instrument.py b/src/biodata_schema/core/instrument.py
index 3d83dd4e..9b88bed3 100644
--- a/src/biodata_schema/core/instrument.py
+++ b/src/biodata_schema/core/instrument.py
@@ -2,12 +2,12 @@
 
 import logging
 from datetime import date
-from typing import List, Literal, Optional
+from typing import Annotated, List, Literal, Optional
 
 from biodata_models.modalities import Modality
 from pydantic import Field, SkipValidation, field_validator, model_validator
 
-from biodata_schema.base import DataCoreModel, DiscriminatedList
+from biodata_schema.base import DataCoreModel, DiscriminatedList, DraftRequirement
 from biodata_schema.components.connections import Connection
 from biodata_schema.components.coordinates import CoordinateSystem
 from biodata_schema.components.devices import (
@@ -82,7 +82,7 @@ class Instrument(DataCoreModel):
 
     # instrument definition
     location: Optional[str] = Field(default=None, title="Location", description="Location of the instrument")
-    instrument_id: str = Field(
+    instrument_id: Annotated[str, DraftRequirement] = Field(
         ...,
         description="Unique instrument identifier",
         title="Instrument ID",
diff --git a/src/biodata_schema/core/metadata.py b/src/biodata_schema/core/metadata.py
index 02b1a687..4d1cf2ec 100644
--- a/src/biodata_schema/core/metadata.py
+++ b/src/biodata_schema/core/metadata.py
@@ -5,7 +5,7 @@
 import logging
 import warnings
 from pathlib import Path
-from typing import Dict, List, Literal, Optional, Union, get_args
+from typing import Annotated, Dict, List, Literal, Optional, Union, get_args
 
 from biodata_models.modalities import Modality
 from pydantic import (
@@ -19,7 +19,7 @@
     model_validator,
 )
 
-from biodata_schema.base import DataCoreModel
+from biodata_schema.base import DataCoreModel, DraftRequirement
 from biodata_schema.components.identifiers import DatabaseIdentifiers
 from biodata_schema.components.subject_procedures import TrainingProtocol
 from biodata_schema.components.subjects import CalibrationObject
@@ -80,7 +80,7 @@ class Metadata(DataCoreModel):
         description="Name of the data asset.",
         title="Data Asset Name",
     )
-    location: str = Field(
+    location: Annotated[str, DraftRequirement] = Field(
         ...,
         title="Location",
         description="Current location of the data asset.",
@@ -296,6 +296,31 @@ def validate_calibration_object_tags(self):
 
         return self
 
+    @model_validator(mode="after")
+    def validate_subject_id_consistency(self):
+        """Validator to ensure procedures, acquisition, and data_description subject_id match subject.subject_id"""
+
+        if not self.subject:
+            return self
+
+        expected = self.subject.subject_id
+        mismatches = []
+        # getattr guards against objects built with model_construct() that omit subject_id
+        procedures_subject_id = getattr(self.procedures, "subject_id", None)
+        if procedures_subject_id is not None and procedures_subject_id != expected:
+            mismatches.append(f"procedures.subject_id={procedures_subject_id}")
+        acquisition_subject_id = getattr(self.acquisition, "subject_id", None)
+        if acquisition_subject_id is not None and acquisition_subject_id != expected:
+            mismatches.append(f"acquisition.subject_id={acquisition_subject_id}")
+        data_description_subject_id = getattr(self.data_description, "subject_id", None)
+        if data_description_subject_id is not None and data_description_subject_id != expected:
+            mismatches.append(f"data_description.subject_id={data_description_subject_id}")
+
+        if mismatches:
+            raise ValueError(f"subject_id mismatch with subject.subject_id={expected}: {', '.join(mismatches)}")
+
+        return self
+
     @model_validator(mode="after")
     def validate_training_protocol_references(self):
         """Validate that training_protocol_name in StimulusEpoch matches a TrainingProtocol in procedures"""
diff --git a/src/biodata_schema/core/subject.py b/src/biodata_schema/core/subject.py
index 028f36ce..bba7927b 100644
--- a/src/biodata_schema/core/subject.py
+++ b/src/biodata_schema/core/subject.py
@@ -1,11 +1,17 @@
-"""schema for mostly mouse metadata"""
+"""schema for subject metadata"""
 
-from typing import Literal, Optional
+from typing import Annotated, Literal, Optional
 
 from pydantic import Field, SkipValidation
 
-from biodata_schema.base import DataCoreModel, Discriminated
-from biodata_schema.components.subjects import CalibrationObject, HumanSubject, MouseSubject, NonHumanPrimateSubject
+from biodata_schema.base import DataCoreModel, Discriminated, DraftRequirement
+from biodata_schema.components.subjects import (
+    CalibrationObject,
+    CellLine,
+    HumanSubject,
+    MouseSubject,
+    NonHumanPrimateSubject,
+)
 
 
 class Subject(DataCoreModel):
@@ -14,14 +20,14 @@ class Subject(DataCoreModel):
     _DESCRIBED_BY_URL = DataCoreModel._DESCRIBED_BY_BASE_URL.default + "biodata_schema/core/subject.py"
     describedBy: str = Field(default=_DESCRIBED_BY_URL, json_schema_extra={"const": _DESCRIBED_BY_URL})
     schema_version: SkipValidation[Literal["3.0.2"]] = Field(default="3.0.2")
-    subject_id: str = Field(
+    subject_id: Annotated[str, DraftRequirement] = Field(
         ...,
         description="Unique identifier for the subject of data acquisition",
         title="Subject ID",
     )
 
-    subject_details: Discriminated[MouseSubject | HumanSubject | NonHumanPrimateSubject | CalibrationObject] = Field(
-        ..., title="Subject Details"
-    )
+    subject_details: Discriminated[
+        MouseSubject | HumanSubject | NonHumanPrimateSubject | CellLine | CalibrationObject
+    ] = Field(..., title="Subject Details")
 
     notes: Optional[str] = Field(default=None, title="Notes")
diff --git a/src/biodata_schema/utils/json_writer.py b/src/biodata_schema/utils/json_writer.py
index f68bd307..74007178 100644
--- a/src/biodata_schema/utils/json_writer.py
+++ b/src/biodata_schema/utils/json_writer.py
@@ -1,15 +1,20 @@
 """Utility method to write Pydantic schemas to JSON"""
 
 import argparse
+import copy
 import importlib
+import inspect
 import json
 import os
 import sys
 from pathlib import Path
-from typing import Iterator
+from typing import Any, Iterator, get_args
+
+from pydantic import BaseModel
 
 from biodata_schema import core
-from biodata_schema.base import DataCoreModel
+from biodata_schema.base import DataCoreModel, DraftRequirement
+from biodata_schema.core.metadata import Metadata
 
 # Import all modules in core package
 for mod in core.__loader__.get_resource_reader().contents():
@@ -17,10 +22,136 @@
         importlib.import_module(f"biodata_schema.core.{mod.replace('.py', '')}")
 
 
+def _model_types(annotation: Any) -> Iterator[type[BaseModel]]:
+    """Yield Pydantic model types found in an annotation."""
+    if inspect.isclass(annotation) and issubclass(annotation, BaseModel):
+        yield annotation
+        return
+
+    for argument in get_args(annotation):
+        yield from _model_types(argument)
+
+
+def _is_draft_requirement(field_info: Any) -> bool:
+    """Return whether a Pydantic field has the draft-requirement marker."""
+    return any(
+        metadata is DraftRequirement or isinstance(metadata, DraftRequirement) for metadata in field_info.metadata
+    )
+
+
+def _has_draft_requirements(model: type[BaseModel], visited: set[type[BaseModel]] | None = None) -> bool:
+    """Return whether a model contains a draft-required field at any depth."""
+    visited = set() if visited is None else visited
+    if model in visited:
+        return False
+    visited.add(model)
+
+    for field in model.model_fields.values():
+        if _is_draft_requirement(field):
+            return True
+        if any(_has_draft_requirements(child, visited.copy()) for child in _model_types(field.annotation)):
+            return True
+    return False
+
+
+def _field_schema(source_schema: dict, field_name: str, field_info: Any) -> dict:
+    """Copy a field schema from a Pydantic model schema without its default."""
+    schema_name = field_info.serialization_alias or field_info.alias or field_name
+    schema = copy.deepcopy(source_schema["properties"][schema_name])
+    schema.pop("default", None)
+    return schema
+
+
+def _project_model_schema(model: type[BaseModel], definitions: dict[str, dict]) -> dict:
+    """Build a schema containing only draft-required fields from a model."""
+    source_schema = model.model_json_schema()
+    definitions.update(source_schema.get("$defs", {}))
+
+    properties = {}
+    required = []
+    for field_name, field_info in model.model_fields.items():
+        output_field_name = field_info.serialization_alias or field_info.alias or field_name
+        if _is_draft_requirement(field_info):
+            properties[output_field_name] = _field_schema(source_schema, field_name, field_info)
+            required.append(output_field_name)
+            continue
+
+        child_models = [child for child in _model_types(field_info.annotation) if _has_draft_requirements(child)]
+        if not child_models:
+            continue
+
+        # Draft-required fields in this repository are direct fields of nested
+        # objects. Keep separate projections for union members if another
+        # draft requirement is added later.
+        if len(child_models) == 1:
+            child_schema = _project_model_schema(child_models[0], definitions)
+        else:
+            child_schema = {
+                "anyOf": [_project_model_schema(child, definitions) for child in child_models],
+            }
+
+        source_field_schema = _field_schema(source_schema, field_name, field_info)
+        for metadata_name in ("title", "description"):
+            if metadata_name in source_field_schema:
+                child_schema[metadata_name] = source_field_schema[metadata_name]
+
+        properties[output_field_name] = child_schema
+        required.append(output_field_name)
+
+    projected = {
+        "title": source_schema.get("title", model.__name__),
+        "type": "object",
+        "additionalProperties": True,
+        "properties": properties,
+        "required": required,
+    }
+    if "description" in source_schema:
+        projected["description"] = source_schema["description"]
+    return projected
+
+
+def _add_referenced_definitions(schema: dict, definitions: dict[str, dict]) -> None:
+    """Add only the definitions referenced by a projected schema."""
+    referenced = {}
+    pending = list()
+
+    def find_references(value: Any) -> None:
+        if isinstance(value, dict):
+            reference = value.get("$ref")
+            if isinstance(reference, str) and reference.startswith("#/$defs/"):
+                pending.append(reference.removeprefix("#/$defs/"))
+            for child in value.values():
+                find_references(child)
+        elif isinstance(value, list):
+            for child in value:
+                find_references(child)
+
+    find_references(schema)
+    while pending:
+        definition_name = pending.pop()
+        if definition_name in referenced or definition_name not in definitions:
+            continue
+        definition = copy.deepcopy(definitions[definition_name])
+        referenced[definition_name] = definition
+        find_references(definition)
+
+    if referenced:
+        schema["$defs"] = referenced
+
+
+def draft_metadata_schema() -> dict:
+    """Return the permissive schema for draft metadata records."""
+    definitions = {}
+    schema = _project_model_schema(Metadata, definitions)
+    _add_referenced_definitions(schema, definitions)
+    return schema
+
+
 class SchemaWriter:
     """Class to write Pydantic schemas to JSON"""
 
     DEFAULT_FILE_PATH = os.getcwd()
+    DRAFT_METADATA_FILENAME = "draft_metadata.json"
 
     def __init__(self, args: list) -> None:
         """Initialize schema writer class."""
@@ -49,6 +180,13 @@ def _parse_arguments(self, args: list) -> argparse.Namespace:
         )
         parser.set_defaults(attach_version=False)
 
+        parser.add_argument(
+            "--draft",
+            action="store_true",
+            help="Also write the permissive draft metadata schema",
+        )
+        parser.set_defaults(draft=False)
+
         optional_args = parser.parse_args(args)
 
         return optional_args
@@ -88,6 +226,18 @@ def write_to_json(self) -> None:
                 schema_json_str: str = json.dumps(schema_json, indent=3)
                 f.write(schema_json_str)
 
+        if self.configs.draft:
+            self.write_draft_to_json()
+
+    def write_draft_to_json(self) -> None:
+        """Write the permissive draft metadata schema to ``draft_metadata.json``."""
+        output_file = Path(self.configs.output) / self.DRAFT_METADATA_FILENAME
+        if not os.path.exists(output_file.parent):
+            os.makedirs(output_file.parent)
+
+        with open(output_file, "w") as f:
+            f.write(json.dumps(draft_metadata_schema(), indent=3))
+
 
 if __name__ == "__main__":
     """User defined argument for output directory"""
diff --git a/tests/test_json_writer.py b/tests/test_json_writer.py
index a22c4f1b..9e181d41 100644
--- a/tests/test_json_writer.py
+++ b/tests/test_json_writer.py
@@ -3,9 +3,29 @@
 import json
 import os
 from pathlib import Path
+from typing import Annotated, Optional, Union
 from unittest.mock import MagicMock, call, mock_open, patch
 
-from biodata_schema.utils.json_writer import SchemaWriter
+from jsonschema import Draft202012Validator
+from pydantic import BaseModel
+
+from biodata_schema.base import DraftRequirement
+from biodata_schema.core.metadata import Metadata
+from biodata_schema.utils.json_writer import (
+    SchemaWriter,
+    _add_referenced_definitions,
+    _has_draft_requirements,
+    _project_model_schema,
+    draft_metadata_schema,
+)
+from examples.aibs_smartspim_instrument import inst as instrument
+from examples.barseq_acquisition import acquisition
+from examples.data_description import d as data_description
+from examples.model import m as model
+from examples.procedures import p as procedures
+from examples.processing import p as processing
+from examples.quality_control import q as quality_control
+from examples.subject import s as subject
 
 
 class TestSchemaWriter:
@@ -31,12 +51,87 @@ def test_parse_args(self):
         sw = SchemaWriter(self.TEST_ARGS)
 
         sw2 = SchemaWriter([])
+        sw3 = SchemaWriter(["--draft"])
 
         expected_output = "some_test_dir"
 
         assert expected_output == sw.configs.output
         assert self.TEST_ARGS == sw.args
         assert os.getcwd() == sw2.configs.output
+        assert sw3.configs.draft is True
+
+    def test_draft_metadata_schema(self):
+        """Tests that the draft schema contains only its required metadata fields."""
+        schema = draft_metadata_schema()
+
+        assert set(schema["properties"]) == {"location", "data_description", "subject", "acquisition", "instrument"}
+        assert set(schema["required"]) == set(schema["properties"])
+        assert schema["additionalProperties"] is True
+        assert set(schema["$defs"]) == {"License"}
+
+        expected_nested_fields = {
+            "data_description": {"project_name", "license"},
+            "subject": {"subject_id"},
+            "acquisition": {"acquisition_start_time"},
+            "instrument": {"instrument_id"},
+        }
+        for field_name, fields in expected_nested_fields.items():
+            nested_schema = schema["properties"][field_name]
+            assert set(nested_schema["properties"]) == fields
+            assert set(nested_schema["required"]) == fields
+            assert nested_schema["additionalProperties"] is True
+
+    def test_full_metadata_validates_against_draft_schema(self):
+        """Tests that a full metadata record validates against the draft schema."""
+        metadata = Metadata.model_construct(
+            name="full_metadata",
+            location="s3://bucket/full_metadata",
+            other_identifiers=None,
+            subject=subject,
+            data_description=data_description,
+            procedures=procedures,
+            instrument=instrument,
+            processing=processing,
+            acquisition=acquisition,
+            quality_control=quality_control,
+            model=model,
+        )
+        metadata_json = json.loads(metadata.model_dump_json(by_alias=True))
+
+        Draft202012Validator(draft_metadata_schema()).validate(metadata_json)
+
+    def test_draft_schema_projection_helpers(self):
+        """Tests nested, recursive, and union model projections."""
+
+        class NestedModel(BaseModel):
+            draft_field: Annotated[str, DraftRequirement]
+
+        class ParentModel(BaseModel):
+            nested: NestedModel
+
+        class UnionModelA(BaseModel):
+            draft_field: Annotated[str, DraftRequirement]
+
+        class UnionModelB(BaseModel):
+            draft_field: Annotated[str, DraftRequirement]
+
+        class UnionParentModel(BaseModel):
+            nested: Union[UnionModelA, UnionModelB]
+
+        class RecursiveModel(BaseModel):
+            child: Optional["RecursiveModel"] = None
+
+        RecursiveModel.model_rebuild()
+
+        assert _has_draft_requirements(ParentModel) is True
+        assert _has_draft_requirements(RecursiveModel) is False
+
+        union_schema = _project_model_schema(UnionParentModel, {})
+        assert len(union_schema["properties"]["nested"]["anyOf"]) == 2
+
+        references_schema = {"anyOf": [{"$ref": "#/$defs/Example"}, {"$ref": "#/$defs/Example"}]}
+        _add_referenced_definitions(references_schema, {"Example": {"type": "string"}})
+        assert references_schema["$defs"] == {"Example": {"type": "string"}}
 
     @patch("builtins.open", new_callable=mock_open())
     @patch("os.path.exists")
@@ -105,3 +200,18 @@ def test_write_to_json_version_number(
         )
         mock_file.assert_has_calls(open_calls, any_order=True)
         file_handle.write.assert_has_calls(write_calls, any_order=True)
+
+    @patch("builtins.open", new_callable=mock_open())
+    @patch("os.path.exists")
+    @patch("os.mkdir")
+    def test_write_draft_to_json(self, mock_mkdir: MagicMock, mock_path_exists: MagicMock, mock_file: MagicMock):
+        """Tests that the draft schema is written to its unversioned filename."""
+        mock_path_exists.return_value = False
+        sw = SchemaWriter(["--output", "some_test_dir", "--draft"])
+
+        sw.write_to_json()
+
+        output_file = Path("some_test_dir") / "draft_metadata.json"
+        mock_file.assert_any_call(output_file, "w")
+        draft_schema_json = json.dumps(draft_metadata_schema(), indent=3)
+        mock_file.return_value.__enter__.return_value.write.assert_any_call(draft_schema_json)
diff --git a/tests/test_metadata.py b/tests/test_metadata.py
index 8d8f1561..f25f05f6 100644
--- a/tests/test_metadata.py
+++ b/tests/test_metadata.py
@@ -93,7 +93,7 @@ def setup_class(cls) -> None:
             project_name="Test",
         )
         procedures = Procedures(
-            subject_id="12345",
+            subject_id="123456",
         )
         processing = Processing.create_with_sequential_process_graph(
             data_processes=[
@@ -272,6 +272,47 @@ def test_create_from_core_jsons(self):
         # also check the other fields
         assert expected_result == result
 
+    def test_validate_subject_id_consistency(self):
+        """Tests that mismatched subject_id across core files raises an error"""
+        Metadata(
+            name=self.sample_name,
+            location=self.sample_location,
+            data_description=self.dd,
+            subject=self.subject,
+            procedures=self.procedures,
+            processing=self.processing,
+        )
+        with pytest.raises(ValidationError, match="procedures.subject_id=999"):
+            Metadata(
+                name=self.sample_name,
+                location=self.sample_location,
+                data_description=self.dd,
+                subject=self.subject,
+                procedures=self.procedures.model_copy(update={"subject_id": "999"}),
+                processing=self.processing,
+            )
+        with pytest.raises(ValidationError, match="data_description.subject_id=999"):
+            Metadata(
+                name=self.sample_name,
+                location=self.sample_location,
+                data_description=self.dd.model_copy(update={"subject_id": "999"}),
+                subject=self.subject,
+                procedures=self.procedures,
+                processing=self.processing,
+            )
+        with pytest.raises(ValidationError, match="acquisition.subject_id=999"):
+            Metadata(
+                name=self.sample_name,
+                location=self.sample_location,
+                subject=self.subject,
+                acquisition=Acquisition.model_construct(
+                    acquisition_start_time=datetime(2023, 10, 3, 12, 0, 0, tzinfo=timezone.utc),
+                    subject_id="999",
+                    subject_details=AcquisitionSubjectDetails.model_construct(),
+                    data_streams=[],
+                ),
+            )
+
     def test_create_from_core_jsons_invalid(self):
         """Tests metadata json creation with invalid inputs"""
         core_jsons = {
@@ -592,7 +633,7 @@ def test_validate_data_description_name_time_consistency(self):
         data_description = DataDescription(
             creation_time=test_datetime,
             modalities=[Modality.ECEPHYS],
-            subject_id="655019",
+            subject_id="123456",
             data_level=DataLevel.RAW,
             institution=Organization.AIND,
             funding_source=[Funding(funder=Organization.NINDS)],
@@ -624,7 +665,7 @@ def test_validate_data_description_name_time_consistency(self):
         data_description_later = DataDescription(
             creation_time=later_same_day,
             modalities=[Modality.ECEPHYS],
-            subject_id="655019",
+            subject_id="123456",
             data_level=DataLevel.RAW,
             institution=Organization.AIND,
             funding_source=[Funding(funder=Organization.NINDS)],
@@ -646,7 +687,7 @@ def test_validate_data_description_name_time_consistency(self):
         data_description_next_day = DataDescription(
             creation_time=next_day,
             modalities=[Modality.ECEPHYS],
-            subject_id="655019",
+            subject_id="123456",
             data_level=DataLevel.RAW,
             institution=Organization.AIND,
             funding_source=[Funding(funder=Organization.NINDS)],
@@ -668,7 +709,7 @@ def test_validate_data_description_name_time_consistency(self):
         data_description_before = DataDescription(
             creation_time=before_midnight,
             modalities=[Modality.ECEPHYS],
-            subject_id="655019",
+            subject_id="123456",
             data_level=DataLevel.RAW,
             institution=Organization.AIND,
             funding_source=[Funding(funder=Organization.NINDS)],
@@ -888,7 +929,7 @@ def test_validate_calibration_object_tags(self):
             name="Test Metadata",
             location="Test Location",
             subject=calibration_subject,
-            data_description=data_description,
+            data_description=data_description.model_copy(update={"subject_id": "calibration"}),
         )
         assert metadata is not None
 
diff --git a/tests/test_subjects.py b/tests/test_subjects.py
index d21db829..4e9aab86 100644
--- a/tests/test_subjects.py
+++ b/tests/test_subjects.py
@@ -3,6 +3,7 @@
 from datetime import datetime
 
 import pytest
+from biodata_models.cell_line import CellLineModel
 from biodata_models.organizations import Organization
 from biodata_models.pid_names import PIDName
 from biodata_models.registries import Registry
@@ -11,6 +12,7 @@
 from biodata_schema.components.subjects import (
     BreedingInfo,
     CalibrationObject,
+    CellLine,
     Housing,
     HumanSubject,
     LightCycle,
@@ -230,3 +232,42 @@ def test_breeding_info(self):
         assert breeding_info.maternal_genotype == "wt/wt"
         assert breeding_info.paternal_id == "P001"
         assert breeding_info.paternal_genotype == "wt/wt"
+
+
+class TestCellLine:
+    """Test the Cell Line model"""
+
+    def test_cellline(self):
+        """Test of cell line"""
+
+        subject = CellLine(
+            cell_line_name="AICS-0005",
+            cell_line_type=CellLineModel(
+                name="Human induced pluripotent stem cell line cell",
+                registry=Registry.CLO,
+                registry_identifier="CLO:0037308",
+            ),
+            species=Species.HUMAN,
+            protein=PIDName(
+                name="paxilin",
+                registry=Registry.UNIPROT,
+                registry_identifier="P49023",
+            ),
+            gene=PIDName(
+                name="paxilin",
+                abbreviation="PXN",
+                registry=Registry.NCBI,
+                registry_identifier="NM_0028593",
+            ),
+            cell_structure="cytoskeleton",
+            fluorescent_protein=PIDName(
+                name="enhanced GFP",
+                abbreviation="EGFP",
+                registry=Registry.FPBASE,
+                registry_identifier="R9NL8",
+            ),
+            clone_number=1,
+        )
+
+        assert subject.cell_structure == "cytoskeleton"
+        assert subject.species == Species.HUMAN
diff --git a/uv.lock b/uv.lock
index 7c51bc1a..bbf4a7b1 100644
--- a/uv.lock
+++ b/uv.lock
@@ -46,6 +46,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/f2/94/3af39d34be01a24a6e65433d19e107099374224905f1e0cc6bbe1fd22a2f/argparse-1.4.0-py2.py3-none-any.whl", hash = "sha256:c31647edb69fd3d465a847ea3157d37bed1f95f19760b11a47aa91c04b666314", size = 23000, upload-time = "2015-09-14T16:03:16.137Z" },
 ]
 
+[[package]]
+name = "attrs"
+version = "26.1.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/9a/8e/82a0fe20a541c03148528be8cac2408564a6c9a0cc7e9171802bc1d26985/attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32", size = 952055, upload-time = "2026-03-19T14:22:25.026Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/64/b4/17d4b0b2a2dc85a6df63d1157e028ed19f90d4cd97c36717afef2bc2f395/attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309", size = 67548, upload-time = "2026-03-19T14:22:23.645Z" },
+]
+
 [[package]]
 name = "autodoc-pydantic"
 version = "2.2.0"
@@ -85,16 +94,16 @@ wheels = [
 
 [[package]]
 name = "biodata-models"
-version = "1.0.1"
+version = "2.0.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "importlib-resources" },
     { name = "pydantic" },
     { name = "requests" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/e0/06/04cb073d3a7b3aace223c559e2f964e515ce644a074a09cf9ebb0f3b7b07/biodata_models-1.0.1.tar.gz", hash = "sha256:d057dc3d3c154c9330771ea7cc9e4a408f90fa45d2c32f648f4c43cf06b9199b", size = 386193, upload-time = "2026-09-11T17:53:41.683Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/c5/d3/d6f4094172d4bb4d33c0fddf8a9dc0240a2789fc04255868b03d8e2b5c62/biodata_models-2.0.1.tar.gz", hash = "sha256:bafbf66510140578d6958a983ba7f6690bfbf478d3223c57fd80c833d69d3b65", size = 145713, upload-time = "2026-10-01T16:53:02.488Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/30/ee/5f8560cc41e7e584d3ffba2ff3fa7fa30470c61d80534fe7d6f0bb53a19a/biodata_models-1.0.1-py3-none-any.whl", hash = "sha256:7b0d25ca936f4ebece75d5ab8b14c2418aa6501448ff76c52b4b123c75f613b0", size = 359546, upload-time = "2026-09-11T17:53:40.129Z" },
+    { url = "https://files.pythonhosted.org/packages/c6/d4/f9723a949f3fb7334e8ddf417cdd85675ef5163283be9bd8a2ed3eb0d32a/biodata_models-2.0.1-py3-none-any.whl", hash = "sha256:ded04fdd4e3a6fba79c6ff9c23a41b2ca2c1d2ed195ead5d3d60a2ae5d979ef6", size = 112586, upload-time = "2026-10-01T16:53:00.957Z" },
 ]
 
 [[package]]
@@ -112,6 +121,7 @@ dev = [
     { name = "argparse" },
     { name = "codespell" },
     { name = "dictdiffer" },
+    { name = "jsonschema" },
     { name = "pydantic" },
     { name = "pytest" },
     { name = "pytest-cov" },
@@ -132,7 +142,7 @@ docs = [
 
 [package.metadata]
 requires-dist = [
-    { name = "biodata-models", specifier = ">=1.0.1,<2" },
+    { name = "biodata-models", specifier = ">=2.0.1,<3" },
     { name = "pydantic", specifier = ">=2.7,<3" },
     { name = "pydantic-extra-types" },
     { name = "tzdata" },
@@ -143,11 +153,12 @@ dev = [
     { name = "argparse" },
     { name = "codespell" },
     { name = "dictdiffer" },
+    { name = "jsonschema", specifier = ">=4.23,<5" },
     { name = "pydantic", specifier = ">=2.7,!=2.9.0,!=2.9.1" },
     { name = "pytest", specifier = ">=8.3" },
     { name = "pytest-cov", specifier = ">=6" },
     { name = "ruff", specifier = ">=0.11" },
-    { name = "semver" },
+    { name = "semver", specifier = ">=3.0.0" },
 ]
 docs = [
     { name = "autodoc-pydantic" },
@@ -467,6 +478,34 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/62/a1/3d680cbfd5f4b8f15abc1d571870c5fc3e594bb582bc3b64ea099db13e56/jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67", size = 134899, upload-time = "2025-03-05T20:05:00.369Z" },
 ]
 
+[[package]]
+name = "jsonschema"
+version = "4.26.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "attrs" },
+    { name = "jsonschema-specifications" },
+    { name = "referencing" },
+    { name = "rpds-py", version = "0.30.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
+    { name = "rpds-py", version = "2026.6.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/b3/fc/e067678238fa451312d4c62bf6e6cf5ec56375422aee02f9cb5f909b3047/jsonschema-4.26.0.tar.gz", hash = "sha256:0c26707e2efad8aa1bfc5b7ce170f3fccc2e4918ff85989ba9ffa9facb2be326", size = 366583, upload-time = "2026-01-07T13:41:07.246Z" }
+wheels = [
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+]
+
+[[package]]
+name = "jsonschema-specifications"
+version = "2025.9.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "referencing" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/19/74/a633ee74eb36c44aa6d1095e7cc5569bebf04342ee146178e2d36600708b/jsonschema_specifications-2025.9.1.tar.gz", hash = "sha256:b540987f239e745613c7a9176f3edb72b832a4ac465cf02712288397832b5e8d", size = 32855, upload-time = "2025-09-08T01:34:59.186Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/41/45/1a4ed80516f02155c51f51e8cedb3c1902296743db0bbc66608a0db2814f/jsonschema_specifications-2025.9.1-py3-none-any.whl", hash = "sha256:98802fee3a11ee76ecaca44429fda8a41bff98b00a0f2838151b113f210cc6fe", size = 18437, upload-time = "2025-09-08T01:34:57.871Z" },
+]
+
 [[package]]
 name = "markdown-it-py"
 version = "3.0.0"
@@ -880,6 +919,21 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/73/e8/2bdf3ca2090f68bb3d75b44da7bbc71843b19c9f2b9cb9b0f4ab7a5a4329/pyyaml-6.0.3-cp313-cp313-win_arm64.whl", hash = "sha256:5498cd1645aa724a7c71c8f378eb29ebe23da2fc0d7a08071d89469bf1d2defb", size = 140246, upload-time = "2025-09-25T21:32:34.663Z" },
 ]
 
+[[package]]
+name = "referencing"
+version = "0.37.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "attrs" },
+    { name = "rpds-py", version = "0.30.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
+    { name = "rpds-py", version = "2026.6.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
+    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/22/f5/df4e9027acead3ecc63e50fe1e36aca1523e1719559c499951bb4b53188f/referencing-0.37.0.tar.gz", hash = "sha256:44aefc3142c5b842538163acb373e24cce6632bd54bdb01b21ad5863489f50d8", size = 78036, upload-time = "2025-10-13T15:30:48.871Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/2c/58/ca301544e1fa93ed4f80d724bf5b194f6e4b945841c5bfd555878eea9fcb/referencing-0.37.0-py3-none-any.whl", hash = "sha256:381329a9f99628c9069361716891d34ad94af76e461dcb0335825aecc7692231", size = 26766, upload-time = "2025-10-13T15:30:47.625Z" },
+]
+
 [[package]]
 name = "requests"
 version = "2.34.0"
@@ -904,6 +958,171 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/04/54/6f679c435d28e0a568d8e8a7c0a93a09010818634c3c3907fc98d8983770/roman_numerals-4.1.0-py3-none-any.whl", hash = "sha256:647ba99caddc2cc1e55a51e4360689115551bf4476d90e8162cf8c345fe233c7", size = 7676, upload-time = "2025-12-17T18:25:33.098Z" },
 ]
 
+[[package]]
+name = "rpds-py"
+version = "0.30.0"
+source = { registry = "https://pypi.org/simple" }
+resolution-markers = [
+    "python_full_version < '3.11'",
+]
+sdist = { url = "https://files.pythonhosted.org/packages/20/af/3f2f423103f1113b36230496629986e0ef7e199d2aa8392452b484b38ced/rpds_py-0.30.0.tar.gz", hash = "sha256:dd8ff7cf90014af0c0f787eea34794ebf6415242ee1d6fa91eaba725cc441e84", size = 69469, upload-time = "2025-11-30T20:24:38.837Z" }
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