diff --git a/.gitignore b/.gitignore
index b7faf40..725144a 100644
--- a/.gitignore
+++ b/.gitignore
@@ -205,3 +205,5 @@ cython_debug/
 marimo/_static/
 marimo/_lsp/
 __marimo__/
+/populate/.dbeaver/
+/populate/.project
diff --git a/poetry.lock b/poetry.lock
new file mode 100644
index 0000000..a1782e9
--- /dev/null
+++ b/poetry.lock
@@ -0,0 +1,1071 @@
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+aiosqlite = ["aiosqlite", "greenlet (>=1)", "typing_extensions (!=3.10.0.1)"]
+asyncio = ["greenlet (>=1)"]
+asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (>=1)"]
+mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5,!=1.1.10)"]
+mssql = ["pyodbc"]
+mssql-pymssql = ["pymssql"]
+mssql-pyodbc = ["pyodbc"]
+mypy = ["mypy (>=0.910)"]
+mysql = ["mysqlclient (>=1.4.0)"]
+mysql-connector = ["mysql-connector-python"]
+oracle = ["cx_oracle (>=8)"]
+oracle-oracledb = ["oracledb (>=1.0.1)"]
+postgresql = ["psycopg2 (>=2.7)"]
+postgresql-asyncpg = ["asyncpg", "greenlet (>=1)"]
+postgresql-pg8000 = ["pg8000 (>=1.29.1)"]
+postgresql-psycopg = ["psycopg (>=3.0.7)"]
+postgresql-psycopg2binary = ["psycopg2-binary"]
+postgresql-psycopg2cffi = ["psycopg2cffi"]
+postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
+pymysql = ["pymysql"]
+sqlcipher = ["sqlcipher3_binary"]
+
+[[package]]
+name = "stevedore"
+version = "5.5.0"
+description = "Manage dynamic plugins for Python applications"
+optional = false
+python-versions = ">=3.9"
+groups = ["dev"]
+files = [
+    {file = "stevedore-5.5.0-py3-none-any.whl", hash = "sha256:18363d4d268181e8e8452e71a38cd77630f345b2ef6b4a8d5614dac5ee0d18cf"},
+    {file = "stevedore-5.5.0.tar.gz", hash = "sha256:d31496a4f4df9825e1a1e4f1f74d19abb0154aff311c3b376fcc89dae8fccd73"},
+]
+
+[[package]]
+name = "tomli"
+version = "2.3.0"
+description = "A lil' TOML parser"
+optional = false
+python-versions = ">=3.8"
+groups = ["main", "dev"]
+markers = "python_version == \"3.10\""
+files = [
+    {file = "tomli-2.3.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:88bd15eb972f3664f5ed4b57c1634a97153b4bac4479dcb6a495f41921eb7f45"},
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+    {file = "tomli-2.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:1cb4ed918939151a03f33d4242ccd0aa5f11b3547d0cf30f7c74a408a5b99878"},
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+    {file = "tomli-2.3.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:b5870b50c9db823c595983571d1296a6ff3e1b88f734a4c8f6fc6188397de005"},
+    {file = "tomli-2.3.0-cp314-cp314-win32.whl", hash = "sha256:feb0dacc61170ed7ab602d3d972a58f14ee3ee60494292d384649a3dc38ef463"},
+    {file = "tomli-2.3.0-cp314-cp314-win_amd64.whl", hash = "sha256:b273fcbd7fc64dc3600c098e39136522650c49bca95df2d11cf3b626422392c8"},
+    {file = "tomli-2.3.0-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:940d56ee0410fa17ee1f12b817b37a4d4e4dc4d27340863cc67236c74f582e77"},
+    {file = "tomli-2.3.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:f85209946d1fe94416debbb88d00eb92ce9cd5266775424ff81bc959e001acaf"},
+    {file = "tomli-2.3.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a56212bdcce682e56b0aaf79e869ba5d15a6163f88d5451cbde388d48b13f530"},
+    {file = "tomli-2.3.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c5f3ffd1e098dfc032d4d3af5c0ac64f6d286d98bc148698356847b80fa4de1b"},
+    {file = "tomli-2.3.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:5e01decd096b1530d97d5d85cb4dff4af2d8347bd35686654a004f8dea20fc67"},
+    {file = "tomli-2.3.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:8a35dd0e643bb2610f156cca8db95d213a90015c11fee76c946aa62b7ae7e02f"},
+    {file = "tomli-2.3.0-cp314-cp314t-win32.whl", hash = "sha256:a1f7f282fe248311650081faafa5f4732bdbfef5d45fe3f2e702fbc6f2d496e0"},
+    {file = "tomli-2.3.0-cp314-cp314t-win_amd64.whl", hash = "sha256:70a251f8d4ba2d9ac2542eecf008b3c8a9fc5c3f9f02c56a9d7952612be2fdba"},
+    {file = "tomli-2.3.0-py3-none-any.whl", hash = "sha256:e95b1af3c5b07d9e643909b5abbec77cd9f1217e6d0bca72b0234736b9fb1f1b"},
+    {file = "tomli-2.3.0.tar.gz", hash = "sha256:64be704a875d2a59753d80ee8a533c3fe183e3f06807ff7dc2232938ccb01549"},
+]
+
+[[package]]
+name = "typing-extensions"
+version = "4.15.0"
+description = "Backported and Experimental Type Hints for Python 3.9+"
+optional = false
+python-versions = ">=3.9"
+groups = ["main", "dev"]
+files = [
+    {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"},
+    {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"},
+]
+
+[metadata]
+lock-version = "2.1"
+python-versions = ">=3.10"
+content-hash = "88558e7f989495f64bb38008cfb626c97387d21ce986fd079463f6816db9c58f"
diff --git a/pyproject.toml b/pyproject.toml
index ca935a3..5d9b0d7 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "welearn-database"
-version = "1.4.2"
+version = "1.4.3"
 description = "All stuff related to relationnal database from the WeLearn project"
 authors = [
     {name = "Théo",email = "theo.nardin@cri-paris.org"}
@@ -18,10 +18,10 @@ dependencies = [
 [tool.poetry]
 
 [tool.poetry.group.dev.dependencies]
-mypy = "^1.16.0"
-bandit = "^1.8.6"
-isort = "^6.1.0"
-black = "^25.9.0"
+mypy = "^2.1.0"
+bandit = "^1.9.4"
+isort = "^8.0.1"
+black = "26.3.1"
 
 [build-system]
 requires = ["poetry-core>=2.0.0,<3.0.0"]
diff --git a/tests/test_document_related.py b/tests/test_document_related.py
index 4b1756f..2167cc7 100644
--- a/tests/test_document_related.py
+++ b/tests/test_document_related.py
@@ -14,7 +14,7 @@
     ProcessState,
     WeLearnDocument,
 )
-from welearn_database.exceptions import InvalidURLScheme
+from welearn_database.exceptions import ContentIsTooShort, InvalidDOI, InvalidURLScheme
 
 
 class TestWeLearnDocument(TestCase):
@@ -72,7 +72,7 @@ def test_validate_full_content(self):
         )
 
     def test_validate_too_short_full_content(self):
-        with self.assertRaises(ValueError):
+        with self.assertRaises(ContentIsTooShort):
             WeLearnDocument(
                 title="Test Document",
                 url="https://example.com/test-document",
@@ -99,6 +99,52 @@ def test_full_content(self):
             "This is a test document, used for unit testing, please ignore. Thank you!",
         )
 
+    def test_doi(self):
+        test_doc = WeLearnDocument(
+            title="Test Document",
+            url="https://example.com/test-document",
+            full_content="This is a test document, used for unit testing, please ignore. Thank you!",
+            description="A short description of the test document.",
+            lang="en",
+            corpus="Test Corpus",
+            details={"author": "Test Author", "doi": "10.1000/xyz123"},
+            doi="10.1000/xyz123",
+        )
+
+        self.assertEqual(test_doc.doi, "10.1000/xyz123")
+
+    def test_invalid_doi(self):
+        with self.assertRaises(InvalidDOI):
+            WeLearnDocument(
+                title="Test Document",
+                url="https://example.com/test-document",
+                full_content="This is a test document, used for unit testing, please ignore. Thank you!",
+                description="A short description of the test document.",
+                lang="en",
+                corpus="Test Corpus",
+                details={
+                    "author": "Test Author",
+                    "doi": "11.1590/s0100-879x2002000500007",
+                },
+                doi="11.1590/s0100-879x2002000500007",
+            )
+
+    def test_unclean_doi(self):
+        with self.assertRaises(InvalidDOI):
+            WeLearnDocument(
+                title="Test Document",
+                url="https://example.com/test-document",
+                full_content="This is a test document, used for unit testing, please ignore. Thank you!",
+                description="A short description of the test document.",
+                lang="en",
+                corpus="Test Corpus",
+                details={
+                    "author": "Test Author",
+                    "doi": "https://doi.org/10.1000/xyz123",
+                },
+                doi="https://doi.org/10.1000/xyz123",
+            )
+
     def test_description(self):
         test_doc = WeLearnDocument(
             title="Test Document",
@@ -284,7 +330,9 @@ def test_none_trace_in_db(self):
             .first()
         )
         self.assertIsNotNone(doc_from_db)
-        self.assertEqual(doc_from_db.trace, None)
+        self.assertIsNone(
+            doc_from_db.trace,
+        )
 
     def test_view_qty_document(self):
         engine = create_engine("sqlite://")
@@ -335,9 +383,7 @@ def test_view_qty_document(self):
         test_session.execute(text("DROP TABLE IF EXISTS qty_document_in_qdrant"))
         test_session.commit()
 
-        test_session.execute(
-            text(
-                """
+        test_session.execute(text("""
             CREATE VIEW document_related.qty_document_in_qdrant AS
             SELECT COUNT(1) AS document_in_qdrant
             FROM (
@@ -346,9 +392,7 @@ def test_view_qty_document(self):
                 WHERE title = 'document_in_qdrant'
                 GROUP BY document_id
             ) latest;
-        """
-            )
-        )
+        """))
         test_session.commit()
 
         result = test_session.query(QtyDocumentInQdrant).first()
diff --git a/welearn_database/alembic/versions/f1ce0ad2845b_add_doi_column_to_document.py b/welearn_database/alembic/versions/f1ce0ad2845b_add_doi_column_to_document.py
new file mode 100644
index 0000000..ac38935
--- /dev/null
+++ b/welearn_database/alembic/versions/f1ce0ad2845b_add_doi_column_to_document.py
@@ -0,0 +1,30 @@
+"""add doi column to document
+
+Revision ID: f1ce0ad2845b
+Revises: f8602200fa99
+Create Date: 2026-04-29 15:39:51.079086
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+from alembic import op
+
+# revision identifiers, used by Alembic.
+revision: str = "f1ce0ad2845b"
+down_revision: Union[str, None] = "b049924f7067"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    op.add_column(
+        "welearn_document",
+        sa.Column("doi", sa.String(), nullable=True, unique=True),
+        schema="document_related",
+    )
+
+
+def downgrade() -> None:
+    op.drop_column("welearn_document", "doi", schema="document_related")
diff --git a/welearn_database/data/models/document_related.py b/welearn_database/data/models/document_related.py
index 0d4fd28..d990202 100644
--- a/welearn_database/data/models/document_related.py
+++ b/welearn_database/data/models/document_related.py
@@ -1,3 +1,4 @@
+import re
 from datetime import datetime
 from typing import Any
 from urllib.parse import urlparse
@@ -30,16 +31,23 @@
     EmbeddingModel,
     NClassifierModel,
 )
-from welearn_database.exceptions import InvalidURLScheme
+from welearn_database.exceptions import ContentIsTooShort, InvalidDOI, InvalidURLScheme
 from welearn_database.modules.text_cleaning import clean_text
+from welearn_database.regular_expression import DOI_VALIDATION_REGEX
 
 schema_name = DbSchemaEnum.DOCUMENT_RELATED.value
 
+NOW = "NOW()"
+GEN_RANDOM_UUID = "gen_random_uuid()"
+
 
 class WeLearnDocument(Base):
     """
     This class represents a document in the WeLearn system.
     :cvar id: The unique identifier of the document.
+    :cvar doi: The unique DOI identifier if it exist for this document
+    :cvar external_id: ID use by the document provider for identify it (ex: PubMed ID, ArXiv ID, OAI PMH identifier etc.)
+    :cvar external_id_type: The type of the external ID, represented as an enumeration
     :cvar url: The URL of the document.
     :cvar title: The title of the document.
     :cvar lang: The language of the document.
@@ -60,8 +68,9 @@ class WeLearnDocument(Base):
     )
 
     id: Mapped[UUID] = mapped_column(
-        types.Uuid, primary_key=True, nullable=False, server_default="gen_random_uuid()"
+        types.Uuid, primary_key=True, nullable=False, server_default=GEN_RANDOM_UUID
     )
+    doi: Mapped[str | None]
     external_id: Mapped[str | None]
     external_id_type: Mapped[str | None] = mapped_column(
         ENUM(
@@ -86,13 +95,13 @@ class WeLearnDocument(Base):
         TIMESTAMP(timezone=False),
         nullable=False,
         default=func.localtimestamp(),
-        server_default="NOW()",
+        server_default=NOW,
     )
     updated_at: Mapped[datetime] = mapped_column(
         TIMESTAMP(timezone=False),
         nullable=False,
         default=func.localtimestamp(),
-        server_default="NOW()",
+        server_default=NOW,
         onupdate=func.localtimestamp(),
     )
 
@@ -127,7 +136,7 @@ def validate_full_content(self, key, value):
             return value
         cleaned = clean_text(value)
         if len(value) < 25:
-            raise ValueError(f"Content is too short : {len(value)}")
+            raise ContentIsTooShort(f"Content is too short : {len(value)}")
 
         # Hash compute and db storage
         self.trace = adler32(cleaned.encode("utf-8"))
@@ -145,6 +154,16 @@ def validate_description(self, key, value):
             return value
         return clean_text(value)
 
+    @validates("doi")
+    def validate_doi(self, key, value):
+        """"""
+        if not value:
+            return value
+
+        if not re.match(DOI_VALIDATION_REGEX, value):
+            raise InvalidDOI(f"DOI is not valid : {value}")
+        return value
+
 
 class ProcessState(Base):
     """
@@ -161,7 +180,7 @@ class ProcessState(Base):
     __table_args__ = {"schema": schema_name}
 
     id: Mapped[UUID] = mapped_column(
-        types.Uuid, primary_key=True, nullable=False, server_default="gen_random_uuid()"
+        types.Uuid, primary_key=True, nullable=False, server_default=GEN_RANDOM_UUID
     )
     document_id: Mapped[UUID] = mapped_column(
         types.Uuid,
@@ -180,7 +199,7 @@ class ProcessState(Base):
         TIMESTAMP(timezone=False),
         nullable=False,
         default=func.localtimestamp(),
-        server_default="NOW()",
+        server_default=NOW,
     )
     operation_order = mapped_column(
         types.BIGINT,
@@ -198,14 +217,14 @@ class Keyword(Base):
     )
 
     id: Mapped[UUID] = mapped_column(
-        types.Uuid, primary_key=True, nullable=False, server_default="gen_random_uuid()"
+        types.Uuid, primary_key=True, nullable=False, server_default=GEN_RANDOM_UUID
     )
     keyword: Mapped[str]
     created_at: Mapped[datetime] = mapped_column(
         TIMESTAMP(timezone=False),
         nullable=False,
         default=func.localtimestamp(),
-        server_default="NOW()",
+        server_default=NOW,
     )
 
 
@@ -220,7 +239,7 @@ class WeLearnDocumentKeyword(Base):
         {"schema": schema_name},
     )
     id: Mapped[UUID] = mapped_column(
-        types.Uuid, primary_key=True, nullable=False, server_default="gen_random_uuid()"
+        types.Uuid, primary_key=True, nullable=False, server_default=GEN_RANDOM_UUID
     )
     welearn_document_id: Mapped[UUID] = mapped_column(
         types.Uuid,
@@ -242,7 +261,7 @@ class ErrorRetrieval(Base):
     __table_args__ = ({"schema": schema_name},)
 
     id: Mapped[UUID] = mapped_column(
-        types.Uuid, primary_key=True, nullable=False, server_default="gen_random_uuid()"
+        types.Uuid, primary_key=True, nullable=False, server_default=GEN_RANDOM_UUID
     )
 
     document_id: Mapped[UUID] = mapped_column(
@@ -258,13 +277,13 @@ class ErrorRetrieval(Base):
         TIMESTAMP(timezone=False),
         nullable=False,
         default=func.localtimestamp(),
-        server_default="NOW()",
+        server_default=NOW,
     )
     updated_at: Mapped[datetime] = mapped_column(
         TIMESTAMP(timezone=False),
         nullable=False,
         default=func.localtimestamp(),
-        server_default="NOW()",
+        server_default=NOW,
         onupdate=func.localtimestamp(),
     )
     error_info: Mapped[str]
@@ -280,7 +299,7 @@ class ErrorDataQuality(Base):
         types.Uuid,
         primary_key=True,
         nullable=False,
-        server_default="gen_random_uuid()",
+        server_default=GEN_RANDOM_UUID,
     )
     document_id: Mapped[UUID] = mapped_column(
         types.Uuid,
@@ -304,7 +323,7 @@ class ErrorDataQuality(Base):
         TIMESTAMP(timezone=False),
         nullable=False,
         default=func.localtimestamp(),
-        server_default="NOW()",
+        server_default=NOW,
     )
     document: Mapped["WeLearnDocument"] = relationship(cascade="all, delete")
     slice: Mapped["DocumentSlice"] = relationship(cascade="all, delete")
@@ -315,7 +334,7 @@ class DocumentSlice(Base):
     __table_args__ = {"schema": schema_name}
 
     id: Mapped[UUID] = mapped_column(
-        types.Uuid, primary_key=True, nullable=False, server_default="gen_random_uuid()"
+        types.Uuid, primary_key=True, nullable=False, server_default=GEN_RANDOM_UUID
     )
     document_id: Mapped[UUID] = mapped_column(
         types.Uuid,
@@ -345,7 +364,7 @@ class AnalyticCounter(Base):
     __table_args__ = {"schema": schema_name}
 
     id: Mapped[UUID] = mapped_column(
-        types.Uuid, primary_key=True, nullable=False, server_default="gen_random_uuid()"
+        types.Uuid, primary_key=True, nullable=False, server_default=GEN_RANDOM_UUID
     )
     document_id: Mapped[UUID] = mapped_column(
         types.Uuid,
@@ -361,13 +380,13 @@ class AnalyticCounter(Base):
         TIMESTAMP(timezone=False),
         nullable=False,
         default=func.localtimestamp(),
-        server_default="NOW()",
+        server_default=NOW,
     )
     updated_at: Mapped[datetime] = mapped_column(
         TIMESTAMP(timezone=False),
         nullable=False,
         default=func.localtimestamp(),
-        server_default="NOW()",
+        server_default=NOW,
         onupdate=func.localtimestamp(),
     )
     document: Mapped["WeLearnDocument"] = relationship()
@@ -381,7 +400,7 @@ class Sdg(Base):
         types.Uuid,
         primary_key=True,
         nullable=False,
-        server_default="gen_random_uuid()",
+        server_default=GEN_RANDOM_UUID,
     )
     slice_id = mapped_column(
         types.Uuid,
@@ -396,7 +415,7 @@ class Sdg(Base):
         TIMESTAMP(timezone=False),
         nullable=False,
         default=func.localtimestamp(),
-        server_default="NOW()",
+        server_default=NOW,
     )
 
     bi_classifier_model_id = mapped_column(
@@ -418,7 +437,7 @@ class ContextDocument(Base):
     id = mapped_column(
         types.Uuid,
         primary_key=True,
-        server_default="gen_random_uuid()",
+        server_default=GEN_RANDOM_UUID,
         nullable=False,
     )
     url: Mapped[str]
@@ -433,7 +452,7 @@ class ContextDocument(Base):
         TIMESTAMP(timezone=False),
         nullable=False,
         default=func.localtimestamp(),
-        server_default="NOW()",
+        server_default=NOW,
     )
     embedding: Mapped[bytes] = mapped_column(LargeBinary)
 
@@ -484,4 +503,4 @@ class QtyDocumentPerCorpus(Base):
     __read_only__ = True
 
     source_name: Mapped[str] = mapped_column(primary_key=True)
-    count: Mapped[int]
\ No newline at end of file
+    count: Mapped[int]
diff --git a/welearn_database/database_utils.py b/welearn_database/database_utils.py
index a039713..cc55461 100644
--- a/welearn_database/database_utils.py
+++ b/welearn_database/database_utils.py
@@ -1,7 +1,5 @@
 import logging
-import math
 import os
-from typing import Any, List
 
 from sqlalchemy import URL, create_engine
 from sqlalchemy.orm import sessionmaker
diff --git a/welearn_database/exceptions.py b/welearn_database/exceptions.py
index dd05203..3d1c8aa 100644
--- a/welearn_database/exceptions.py
+++ b/welearn_database/exceptions.py
@@ -5,3 +5,25 @@ class InvalidURLScheme(Exception):
 
     def __init__(self, msg="URL schema is not accepted", *args):
         super().__init__(msg, *args)
+
+
+class InvalidDOI(Exception):
+    """
+    Scheme detected in DOI is not accepted
+    """
+
+    def __init__(self, msg="DOI schema is not accepted", *args):
+        super().__init__(msg, *args)
+
+
+class ContentIsTooShort(Exception):
+    """
+    The string used as content is too short, it should be at least 25 characters long
+    """
+
+    def __init__(
+        self,
+        msg="Content is too short, it should be at least 25 characters long",
+        *args,
+    ):
+        super().__init__(msg, *args)
diff --git a/welearn_database/regular_expression.py b/welearn_database/regular_expression.py
new file mode 100644
index 0000000..42589d2
--- /dev/null
+++ b/welearn_database/regular_expression.py
@@ -0,0 +1,11 @@
+# Regular expressions for data cleaning and preprocessing in the WeLearn Database project.
+
+# description: Matches backline characters (newline, tab, carriage return) for removal or replacement.
+# example: "Hello\n\tWorld" -> matches "\n" and "\t"
+# limit: Does not match other whitespace characters like spaces or form feeds.
+BACKLINES_REGEX = r"([\n\t\r])"
+
+# description: Match DOI identifier without doi.org as prefix
+# example : 10.1590/s0103-90162002000200027 -> matches "10.1590/s0103-90162002000200027"
+# limit : can't be really used for extraction, can be roughly used for other things than validation
+DOI_VALIDATION_REGEX = r"^(10\.\d{4,5}\/[\S]+[^;,.\s])$"