diff --git a/xl2times/datatypes.py b/xl2times/datatypes.py
index 82c652ff..c76f7e73 100644
--- a/xl2times/datatypes.py
+++ b/xl2times/datatypes.py
@@ -7,6 +7,7 @@
 from functools import cached_property
 from importlib import resources
 from itertools import chain
+from pathlib import PurePath
 
 from loguru import logger
 from pandas.core.frame import DataFrame
@@ -71,6 +72,63 @@ def has_tag(cls, tag):
         return tag in cls._value2member_map_
 
 
+class DataModule(str, Enum):
+    """Categorise data into modules based on the file they are coming from."""
+
+    base = "VT_*.*, BY_Trans.*"
+    syssettings = "SysSettings.*"
+    subres = "SubRES_TMPL/SubRES_*.*"
+    sets = "Set*.*"
+    lma = "LMA*.*"
+    demand = "SuppXLS/Demands/Dem_Alloc+Series.*, SuppXLS/Demands/ScenDem_*.*"
+    scen = "SuppXLS/Scen_*.*"
+    trade = "SuppXLS/Trades/ScenTrade_*.*"
+
+    @classmethod
+    def determine_type(cls, path: str) -> "DataModule | None":
+        for data_module in cls:
+            if any(
+                PurePath(path.lower()).match(pattern.lower().strip())
+                for pattern in data_module.value.split(",")
+            ):
+                return data_module
+        return None
+
+    @classmethod
+    def module_type(cls, path: str) -> str | None:
+        module_type = cls.determine_type(path)
+        if module_type:
+            return module_type.name
+        else:
+            return None
+
+    @classmethod
+    def submodule(cls, path: str) -> str | None:
+        match cls.determine_type(path):
+            case DataModule.base | DataModule.subres:
+                if PurePath(path.lower()).match("*_trans.*"):
+                    return "trans"
+                else:
+                    return "main"
+            case None:
+                return None
+            case _:
+                return "main"
+
+    @classmethod
+    def module_name(cls, path: str) -> str | None:
+        module_type = cls.determine_type(path)
+        match module_type:
+            case DataModule.base | DataModule.sets | DataModule.lma | DataModule.demand | DataModule.trade | DataModule.syssettings:
+                return module_type.name
+            case DataModule.subres:
+                return re.sub("_trans$", "", PurePath(path).stem.lower())
+            case None:
+                return None
+            case _:
+                return PurePath(path).stem
+
+
 @dataclass
 class EmbeddedXlTable:
     """A table object: a pandas dataframe wrapped with some metadata.
diff --git a/xl2times/transforms.py b/xl2times/transforms.py
index db430e15..c64bf77d 100644
--- a/xl2times/transforms.py
+++ b/xl2times/transforms.py
@@ -15,7 +15,7 @@
 from tqdm import tqdm
 
 from . import utils
-from .datatypes import Config, EmbeddedXlTable, Tag, TimesModel
+from .datatypes import Config, DataModule, EmbeddedXlTable, Tag, TimesModel
 from .utils import max_workers
 
 csets_ordered_for_pcg = ["DEM", "MAT", "NRG", "ENV", "FIN"]
@@ -358,7 +358,10 @@ def include_tables_source(
 
     def include_table_source(table: EmbeddedXlTable):
         df = table.dataframe.copy()
-        df["source_filename"] = table.filename
+        df["source_filename"] = Path(table.filename).stem
+        df["data_module_type"] = DataModule.module_type(table.filename)
+        df["data_submodule"] = DataModule.submodule(table.filename)
+        df["data_module_name"] = DataModule.module_name(table.filename)
         return replace(table, dataframe=df)
 
     return [include_table_source(table) for table in tables]