diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index fa2f41ce..b5565e47 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -77,6 +77,24 @@ poetry run python
 poetry run datadoc
 ```
 
+## Config for local development
+
+We use a python package called `python-dotenv` for configuration management. This gives two possibilities for sourcing configuration:
+
+1. Environment variables.
+1. A file called `.env` by convention.
+
+To set up for local development run this command from the root of the repo.
+
+1. Create a file `src/datadoc/.env`
+1. Place the following lines in the file:
+```
+DATADOC_DASH_DEVELOPMENT_MODE=True
+DATADOC_LOG_LEVEL=debug
+```
+
+To see all configuration options, see `src/datadoc/config.py`
+
 ## How to test the project
 
 Run the full test suite:
diff --git a/poetry.lock b/poetry.lock
index 3b0920b5..9e96c31c 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -709,13 +709,13 @@ test-randomorder = ["pytest-randomly"]
 
 [[package]]
 name = "dapla-toolbelt"
-version = "2.0.3"
-description = "Dapla Toolbelt"
+version = "1.8.6"
+description = "Python module for use within Jupyterlab notebooks, specifically aimed for Statistics Norway's data platform called Dapla"
 optional = false
 python-versions = ">=3.10,<4.0"
 files = [
-    {file = "dapla_toolbelt-2.0.3-py3-none-any.whl", hash = "sha256:9041cec86cc3dba409e6f05d22241f00db9f57bfff49d54a89e4b0d9f3a8c9c9"},
-    {file = "dapla_toolbelt-2.0.3.tar.gz", hash = "sha256:af25e358f494cd786037dd34814caa456e44d481b427bcdafdc634ef41a39251"},
+    {file = "dapla_toolbelt-1.8.6-py3-none-any.whl", hash = "sha256:193fb543f50148f0b8b3928590d5875cfd2804ad502893727a2121d9625f1ffc"},
+    {file = "dapla_toolbelt-1.8.6.tar.gz", hash = "sha256:8d45b1b9de4f904e0109bb683c36d21e5f8e9f98bdd9e38e5e531954605ccd0b"},
 ]
 
 [package.dependencies]
@@ -1089,13 +1089,13 @@ tqdm = ["tqdm"]
 
 [[package]]
 name = "furo"
-version = "2023.9.10"
+version = "2024.1.29"
 description = "A clean customisable Sphinx documentation theme."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "furo-2023.9.10-py3-none-any.whl", hash = "sha256:513092538537dc5c596691da06e3c370714ec99bc438680edc1debffb73e5bfc"},
-    {file = "furo-2023.9.10.tar.gz", hash = "sha256:5707530a476d2a63b8cad83b4f961f3739a69f4b058bcf38a03a39fa537195b2"},
+    {file = "furo-2024.1.29-py3-none-any.whl", hash = "sha256:3548be2cef45a32f8cdc0272d415fcb3e5fa6a0eb4ddfe21df3ecf1fe45a13cf"},
+    {file = "furo-2024.1.29.tar.gz", hash = "sha256:4d6b2fe3f10a6e36eb9cc24c1e7beb38d7a23fc7b3c382867503b7fcac8a1e02"},
 ]
 
 [package.dependencies]
@@ -1161,13 +1161,13 @@ test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre
 
 [[package]]
 name = "google-api-core"
-version = "2.15.0"
+version = "2.16.0"
 description = "Google API client core library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-api-core-2.15.0.tar.gz", hash = "sha256:abc978a72658f14a2df1e5e12532effe40f94f868f6e23d95133bd6abcca35ca"},
-    {file = "google_api_core-2.15.0-py3-none-any.whl", hash = "sha256:2aa56d2be495551e66bbff7f729b790546f87d5c90e74781aa77233bcb395a8a"},
+    {file = "google-api-core-2.16.0.tar.gz", hash = "sha256:d1fc42e52aa4042ad812827b7aad858394e2bf73da8329af95ad8efa30bc886b"},
+    {file = "google_api_core-2.16.0-py3-none-any.whl", hash = "sha256:c424f9f271c7f55366254708e0d0383963a72376286018af0a04f322be843400"},
 ]
 
 [package.dependencies]
@@ -2860,18 +2860,18 @@ files = [
 
 [[package]]
 name = "pydantic"
-version = "2.5.3"
+version = "2.6.0"
 description = "Data validation using Python type hints"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "pydantic-2.5.3-py3-none-any.whl", hash = "sha256:d0caf5954bee831b6bfe7e338c32b9e30c85dfe080c843680783ac2b631673b4"},
-    {file = "pydantic-2.5.3.tar.gz", hash = "sha256:b3ef57c62535b0941697cce638c08900d87fcb67e29cfa99e8a68f747f393f7a"},
+    {file = "pydantic-2.6.0-py3-none-any.whl", hash = "sha256:1440966574e1b5b99cf75a13bec7b20e3512e8a61b894ae252f56275e2c465ae"},
+    {file = "pydantic-2.6.0.tar.gz", hash = "sha256:ae887bd94eb404b09d86e4d12f93893bdca79d766e738528c6fa1c849f3c6bcf"},
 ]
 
 [package.dependencies]
 annotated-types = ">=0.4.0"
-pydantic-core = "2.14.6"
+pydantic-core = "2.16.1"
 typing-extensions = ">=4.6.1"
 
 [package.extras]
@@ -2879,116 +2879,90 @@ email = ["email-validator (>=2.0.0)"]
 
 [[package]]
 name = "pydantic-core"
-version = "2.14.6"
+version = "2.16.1"
 description = ""
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -3520,28 +3494,28 @@ files = [
 
 [[package]]
 name = "ruff"
-version = "0.1.14"
+version = "0.1.11"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "ruff-0.1.11-py3-none-win32.whl", hash = "sha256:9b8f397902f92bc2e70fb6bebfa2139008dc72ae5177e66c383fa5426cb0bf2c"},
+    {file = "ruff-0.1.11-py3-none-win_amd64.whl", hash = "sha256:eb85ee287b11f901037a6683b2374bb0ec82928c5cbc984f575d0437979c521a"},
+    {file = "ruff-0.1.11-py3-none-win_arm64.whl", hash = "sha256:97ce4d752f964ba559c7023a86e5f8e97f026d511e48013987623915431c7ea9"},
+    {file = "ruff-0.1.11.tar.gz", hash = "sha256:f9d4d88cb6eeb4dfe20f9f0519bd2eaba8119bde87c3d5065c541dbae2b5a2cb"},
 ]
 
 [[package]]
@@ -4030,19 +4004,8 @@ description = "Typing stubs for docutils"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "types-docutils-0.20.0.20240126.tar.gz", hash = "sha256:cc5a7eed463a0991f8e0affbfde7a7d89a31a296e68732cb3b31cf2cb44eea8d"},
-    {file = "types_docutils-0.20.0.20240126-py3-none-any.whl", hash = "sha256:52f18b6b4ecc3da2fbb1ed8330c60995fefddd404690e8b1183f43015b712564"},
-]
-
-[[package]]
-name = "types-google-cloud-ndb"
-version = "2.2.0.20240106"
-description = "Typing stubs for google-cloud-ndb"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "types-google-cloud-ndb-2.2.0.20240106.tar.gz", hash = "sha256:b81d4ea35f212dc845429d08f1981eb011fe78cee3eebba81157d18b7f6e4616"},
-    {file = "types_google_cloud_ndb-2.2.0.20240106-py3-none-any.whl", hash = "sha256:c76efa97b17c15865784fb4e54da56cad805acf81f908dfe4f962a957cb84555"},
+    {file = "types-docutils-0.20.0.20240106.tar.gz", hash = "sha256:03992ec976fbe080db588e1e56a83c5e4aba5c733022b25bb26cb84397b96049"},
+    {file = "types_docutils-0.20.0.20240106-py3-none-any.whl", hash = "sha256:d408f9305761905b157ea3cb80f53d4026bce7d4cc47312939118715467d0278"},
 ]
 
 [[package]]
@@ -4073,13 +4036,13 @@ files = [
 
 [[package]]
 name = "types-pytz"
-version = "2023.3.1.1"
+version = "2023.4.0.20240130"
 description = "Typing stubs for pytz"
 optional = false
-python-versions = "*"
+python-versions = ">=3.8"
 files = [
-    {file = "types-pytz-2023.3.1.1.tar.gz", hash = "sha256:cc23d0192cd49c8f6bba44ee0c81e4586a8f30204970fc0894d209a6b08dab9a"},
-    {file = "types_pytz-2023.3.1.1-py3-none-any.whl", hash = "sha256:1999a123a3dc0e39a2ef6d19f3f8584211de9e6a77fe7a0259f04a524e90a5cf"},
+    {file = "types-pytz-2023.4.0.20240130.tar.gz", hash = "sha256:33676a90bf04b19f92c33eec8581136bea2f35ddd12759e579a624a006fd387a"},
+    {file = "types_pytz-2023.4.0.20240130-py3-none-any.whl", hash = "sha256:6ce76a9f8fd22bd39b01a59c35bfa2db39b60d11a2f77145e97b730de7e64fe0"},
 ]
 
 [[package]]
@@ -4093,9 +4056,6 @@ files = [
     {file = "types_requests-2.31.0.20240125-py3-none-any.whl", hash = "sha256:9592a9a4cb92d6d75d9b491a41477272b710e021011a2a3061157e2fb1f1a5d1"},
 ]
 
-[package.dependencies]
-urllib3 = ">=2"
-
 [[package]]
 name = "types-setuptools"
 version = "69.0.0.20240125"
diff --git a/src/datadoc/app.py b/src/datadoc/app.py
index ccf836b9..7e898895 100644
--- a/src/datadoc/app.py
+++ b/src/datadoc/app.py
@@ -118,7 +118,9 @@ def main(dataset_path: str | None = None) -> None:
             port=port,
         )
     else:
-        app.run(debug=config.get_dash_development_mode(), port=port)
+        if dev_mode := config.get_dash_development_mode():
+            logger.warning("Starting in Development Mode. NOT SUITABLE FOR PRODUCTION.")
+        app.run(debug=dev_mode, port=port)
 
 
 if __name__ == "__main__":
diff --git a/src/datadoc/backend/dapla_dataset_path_info.py b/src/datadoc/backend/dapla_dataset_path_info.py
index 63545655..6fe18aa0 100644
--- a/src/datadoc/backend/dapla_dataset_path_info.py
+++ b/src/datadoc/backend/dapla_dataset_path_info.py
@@ -1,7 +1,6 @@
 """Extract info from a path following SSB's dataset naming convention."""
 from __future__ import annotations
 
-import contextlib
 import pathlib
 import re
 from dataclasses import dataclass
@@ -12,6 +11,7 @@
 
 if TYPE_CHECKING:
     import datetime
+    import os
 
 
 @dataclass
@@ -262,16 +262,11 @@ def convert_ssb_period(
 class DaplaDatasetPathInfo:
     """Extract info from a path following SSB's dataset naming convention."""
 
-    def __init__(self, dataset_path: str) -> None:
+    def __init__(self, dataset_path: str | os.PathLike[str]) -> None:
         """Digest the path so that it's ready for further parsing."""
         self.dataset_path = pathlib.Path(dataset_path)
         self.dataset_name_sections = self.dataset_path.stem.split("_")
-        _period_strings = self._extract_period_strings(self.dataset_name_sections)
-        self.first_period_string = _period_strings[0]
-        self.second_period_string: str | None = None
-
-        with contextlib.suppress(IndexError):
-            self.second_period_string = _period_strings[1]
+        self._period_strings = self._extract_period_strings(self.dataset_name_sections)
 
     @staticmethod
     def _extract_period_strings(dataset_name_sections: list[str]) -> list[str]:
@@ -306,28 +301,40 @@ def _extract_period_strings(dataset_name_sections: list[str]) -> list[str]:
         ]
 
     @property
-    def contains_data_from(self) -> datetime.date:
+    def contains_data_from(self) -> datetime.date | None:
         """The earliest date from which data in the dataset is relevant for."""
-        date_format = categorize_period_string(self.first_period_string)
+        try:
+            period_string = self._period_strings[0]
+            date_format = categorize_period_string(period_string)
+        except IndexError:
+            return None
+
         if isinstance(date_format, SsbDateFormat):
             """If dateformat is SSB date format return start month of ssb period."""
             period = convert_ssb_period(
-                self.first_period_string,
+                period_string,
                 "start",
                 date_format,
             )
             return arrow.get(period, date_format.arrow_pattern).floor("month").date()
 
         return (
-            arrow.get(self.first_period_string, date_format.arrow_pattern)
+            arrow.get(period_string, date_format.arrow_pattern)
             .floor(date_format.timeframe)
             .date()
         )
 
     @property
-    def contains_data_until(self) -> datetime.date:
+    def contains_data_until(self) -> datetime.date | None:
         """The latest date until which data in the dataset is relevant for."""
-        period_string = self.second_period_string or self.first_period_string
+        try:
+            period_string = self._period_strings[1]
+        except IndexError:
+            try:
+                period_string = self._period_strings[0]
+            except IndexError:
+                return None
+
         date_format = categorize_period_string(period_string)
         if isinstance(date_format, SsbDateFormat):
             """If dateformat is SSB date format return end month of ssb period."""
diff --git a/src/datadoc/backend/datadoc_metadata.py b/src/datadoc/backend/datadoc_metadata.py
index 2b255396..86c7ed83 100644
--- a/src/datadoc/backend/datadoc_metadata.py
+++ b/src/datadoc/backend/datadoc_metadata.py
@@ -11,6 +11,7 @@
 from datadoc_model import model
 
 from datadoc import config
+from datadoc.backend.dapla_dataset_path_info import DaplaDatasetPathInfo
 from datadoc.backend.dataset_parser import DatasetParser
 from datadoc.backend.model_backwards_compatibility import upgrade_metadata
 from datadoc.backend.storage_adapter import StorageAdapter
@@ -214,10 +215,14 @@ def extract_metadata_from_dataset(
         """
         self.ds_schema: DatasetParser = DatasetParser.for_file(dataset)
 
+        dapla_dataset_path_info = DaplaDatasetPathInfo(dataset)
+
         self.meta.dataset = model.Dataset(
             short_name=self.short_name,
             dataset_state=self.dataset_state,
             version=self.get_dataset_version(short_name),
+            contains_data_from=str(dapla_dataset_path_info.contains_data_from),
+            contains_data_until=str(dapla_dataset_path_info.contains_data_until),
             data_source_path=self.dataset,
             created_by=self.current_user,
         )
diff --git a/tests/backend/test_dapla_dataset_path_info.py b/tests/backend/test_dapla_dataset_path_info.py
index d46ee9b4..7a53af1d 100644
--- a/tests/backend/test_dapla_dataset_path_info.py
+++ b/tests/backend/test_dapla_dataset_path_info.py
@@ -4,6 +4,7 @@
 import pytest
 
 from datadoc.backend.dapla_dataset_path_info import DaplaDatasetPathInfo
+from tests.utils import TEST_PARQUET_FILEPATH
 
 
 @dataclass
@@ -136,16 +137,32 @@ def test_extract_period_info_date_until(
     assert dataset_path.contains_data_until == expected_contains_data_until
 
 
-# Nonsens names, no dates path names will trigger IndexError
+@pytest.mark.parametrize(
+    "data",
+    [
+        (
+            "varehandel_p2018Q5_p2018Q4_v1.parquet",
+            "Period format p2018Q5 is not supported",
+        ),
+        (
+            "varehandel_p2018Q1_p2018H2_v1.parquet",
+            "Period format p2018H2 is not supported",
+        ),
+    ],
+)
+def test_extract_period_info_failures(data: tuple):
+    DaplaDatasetPathInfo(data[0])
+    with pytest.raises(NotImplementedError):
+        raise NotImplementedError(data[1])
+
+
 @pytest.mark.parametrize(
     "data",
     [
         "nonsen.data",
         "nonsens2.parquet",
-        "nonsens_v1.parquet",
-        "varehandel_v1.parquet",
+        TEST_PARQUET_FILEPATH.name,
     ],
 )
-def test_extract_period_info_failures_index_error(data: str):
-    with pytest.raises(IndexError):
-        DaplaDatasetPathInfo(data)
+def test_extract_period_info_no_period_info_in_path(data: str):
+    assert DaplaDatasetPathInfo(data).contains_data_from is None
diff --git a/tests/backend/test_datadoc_metadata.py b/tests/backend/test_datadoc_metadata.py
index 3e13c183..66bcb0bd 100644
--- a/tests/backend/test_datadoc_metadata.py
+++ b/tests/backend/test_datadoc_metadata.py
@@ -200,7 +200,6 @@ def test_direct_person_identifying_default_value(metadata: DataDocMetadata):
     assert all(not v.direct_person_identifying for v in metadata.meta.variables)
 
 
-# Test with existing dataset and metadata document
 def test_save_file_path_metadata_field(
     existing_metadata_file: str,
     metadata: DataDocMetadata,
@@ -211,7 +210,6 @@ def test_save_file_path_metadata_field(
     assert saved_file_path == str(metadata.dataset)
 
 
-# Test with dataset and no metadata document
 def test_save_file_path_dataset_and_no_metadata(
     metadata: DataDocMetadata,
 ):
@@ -219,6 +217,3 @@ def test_save_file_path_dataset_and_no_metadata(
     with Path.open(Path(TEST_RESOURCES_METADATA_DOCUMENT)) as f:
         saved_file_path = json.load(f)["datadoc"]["dataset"]["file_path"]
     assert saved_file_path == str(metadata.dataset)
-
-
-# Test with metadata document and no dataset