Heratio Help Center article. Category: Digital Preservation.
Preservation Maturity Self-Assessment (human-entered)
A Guide for Repository Administrators
What is the maturity self-assessment?
The Preservation Maturity Self-Assessment is where your institution rates its own digital-preservation practice, section by section, against a recognised international maturity model, records the ratings with evidence notes, and tracks how the profile changes over time.
It lives at Admin -> Preservation maturity self-assessment
(/admin/preservation-self-assessment) and is available to administrators only.
It complements the computed Preservation Maturity dashboard
(/admin/preservation-maturity). The two are deliberately different things:
| Surface | What it is | Where the numbers come from |
|---|---|---|
| Computed maturity dashboard | A read-only score the platform derives automatically | Concrete records in this instance (checksums, formats, events, ...) |
| Maturity self-assessment (this) | A human, organisational rating you enter | Your own judgement, section by section, with evidence |
A mature programme uses both: the computed dashboard is an honest mirror of what the system can evidence, while the self-assessment captures organisational realities (policy, legal basis, staffing, strategy) that no automated probe can see.
The maturity models
Two widely used, jurisdiction-neutral models are supported (no country assumptions are made; both are international).
NDSA Levels of Digital Preservation
Five functional areas, each self-rated on a 0 (not yet) to 4 scale:
- Storage - multiple copies with geographic and provider diversity
- Integrity (fixity) - checksums recorded, verified on a cadence, content protected
- Control (security) - who can read or change content is restricted and logged
- Metadata - descriptive, administrative, technical and preservation (PREMIS) metadata
- Content (file formats) - format identification (PRONOM/PUID), diversity, obsolescence monitoring
DPC Rapid Assessment Model (DPC RAM)
Eleven sections (three organisational, eight service-capability), each rated 0 to 4:
- Organisational viability
- Policy and strategy
- Legal basis
- IT capability
- Continuous improvement
- Acquisition, transfer and ingest
- Bitstream preservation
- Content preservation
- Metadata management
- Discovery and access
- Reuse
The 0 to 4 maturity scale
The shared scale labels are: 0 Minimal awareness, 1 Awareness,
2 Basic, 3 Managed, 4 Optimised. These labels (and the list of
models) come from the Dropdown Manager (groups assessment_model and
maturity_level), so an administrator can rename or extend them under
Admin -> Dropdowns without touching code.
Running an assessment
- Open Admin -> Preservation maturity self-assessment.
- In Start a new assessment, choose the model (NDSA or DPC RAM), optionally give it a title, an assessor and a date, then Begin assessment.
- On the rating form, for each section pick the level that best describes your practice. Each level shows a short descriptor so you know what it means. Add an Evidence / notes entry to record the justification.
- Save draft to keep working, or Save and mark complete when finished.
- You land on the maturity profile - a radar of section levels plus horizontal bars and your overall (average) maturity.
The profile and progress over time
- The profile page shows one assessment as a CSS radar and per-section bars, with each section's evidence note and the overall average maturity.
- The landing page lists every past assessment and draws a small trend per model, so you can see whether your maturity is improving release over release.
- Export JSON downloads a self-contained snapshot of an assessment (model, metadata, every section with its level, label and evidence, plus the overall average) for reporting, sharing with funders, or feeding into a wider dashboard.
Notes
- The self-assessment is entirely separate from your records: it only ever writes to its own two tables and never changes a catalogue description.
- It is admin-only and resilient - a fresh or mid-migration install shows a calm "being set up" state rather than an error.
- The models are seeded as data; the level descriptors are taken from the published NDSA Levels v2.0 and the DPC Rapid Assessment Model.