Data map
Ingest a Fideslang manifest, explore systems and datasets, and compare data map versions.
What it is
The data map is the observed picture of what your software processes. It is built from Fideslang manifests your engineers publish from CI: one file per repository listing each system, the personal data it stores, and why. From that evidence Noru derives systems, datasets, processing activities, purposes, data categories, and data subjects, and it is the raw material for records of processing, regulation coverage, and transfer analysis. Legal fields are never derived here; they are confirmed on the record.
Where to find it
PrivacyData map

With nothing connected yet the page reads Nothing mapped yet and offers Get the setup instructions (editors) or a read-only note. Once a source has pushed, the header counts nodes and holds a Sources button.
The explorer has six columns, left to right: Systems, Datasets,
Processing activities, Purposes, Data categories, Data
subjects. Solid edges join system to activity to purpose, category, and
subject; dashed edges join system to dataset and dataset to category. The
toolbar has a search box, one chip per column to hide or show it, a
Filters popover (Sensitive data only, Sale, sharing & transfers),
and Clear selection. Everything is in the URL: ?node=, ?q=,
?category=, ?sensitive=1, ?transfers=1.
Key actions
Connect a source
Connecting needs the editor or admin role and an API key with the
write:datamaps scope from Settings → Developer.
/privacy/data-map?connect=true). The Connect a source dialog opens..fides/datamap.yml.$NORU_API_URL/v1/privacy/datamaps with a Bearer token.

Trace a data flow
Click any node. The bottom bar shows its label, column, badges (Special
category, Third party), and what it is connected to, grouped by column.
An activity also shows Legal basis, Retention, and the badges
Cross-border transfer, Sale / sharing, Targeted ads, Profiling,
and DPIA required or Assessment recommended. Edit in Records opens
the record drawer at /privacy/ropa?activity=[id].
Inspect a source and its versions




Delete a source
The trash icon on a source row opens "Delete this source?". Deleting removes the source, its version history, and every system, dataset, and processing activity built from it. Records that referenced those activities lose their observed facts.
Statuses and fields
| Element | Meaning |
|---|---|
| Freshness badge | How recently the source last pushed |
| Change chips | What the last push added, removed, or changed |
| "N taxonomy warnings" | Manifest entries that did not validate against the taxonomy; they are kept, not dropped |
| Special category | The category is Article 9 data |
| Third party | The system belongs to someone else |
What a push changes
Every push is checked against the previous checksum and ignored if identical; validated against the taxonomy, with problems stored as warnings; stored as an immutable version with a diff; materialised into systems, datasets, and activities; and reconciled so that items missing from the new manifest are soft-archived rather than deleted. Approved records whose facts changed become Changed after approval in the inbox.
Tips and gotchas
Push from the default branch only. Each push is a version, and feature branches will churn the diff and the inbox.
The context line on the page says it plainly: confirm purpose, lawful basis, recipients, retention, and approval in Records before treating the map as legal analysis.
What Noru does not do
Noru does not scan your code. The map contains exactly what the manifest says; a system your engineers left out is not on it. It does not infer lawful basis, retention, or recipients from the manifest, and it does not delete records when a manifest shrinks.
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