Digital indexing
Airbus A320 family digital records index quality review
This review checks whether the digital records index for an A320-family aircraft is usable for diligence, not just complete. It is run by or for the party relying on a scanned records set, often before a data room opens or a records system migrates. It samples scan legibility, metadata accuracy, OCR text quality, and file naming against the source documents, so a searchable index that returns the right record can be relied on. You receive an index-quality assessment, a sample-based defect rate by category, and a list of records the index misnames, misfiles, or cannot surface.
When this review is needed
- A scanned A320-family records set is about to open as a data room and buyers will search it under time pressure.
- Records are migrating between systems and the index that survives the move has to stay reliable.
- A prior scanning pass produced files a diligence team cannot search or cite.
- The digital index is now the working copy and no one has checked it against the paper it replaced.
The problem
A digital records set can look complete in a file tree and still fail the moment someone searches it. On an A320-family aircraft with tens of thousands of pages, scans get made image-only, metadata gets keyed against the wrong tail or date, and OCR misreads a status list badly enough that the right document never surfaces for the query that needs it. A diligence team then concludes a record is missing when it is present but unfindable, and prices that uncertainty.
What gets reviewed
- Scan legibility sampled across the record types in the index
- Metadata fields checked for accuracy against the source document, including tail, date, and record type
- OCR text quality tested against searches a diligence team would actually run
- File-naming consistency against the index convention
- Coverage of the index against the source set, so nothing is silently dropped
- A sample-based defect rate reported by record category rather than one overall figure
Scope this review
Tell us the asset, the event, and the evidence in scope, and we will outline a focused first engagement.
Send a representative, redacted record set and we will scope the review.
What gets validated
- Sampled scans are legible at the resolution a reviewer needs, not image-only fragments
- Metadata on sampled records matches the tail, date, and type of the source document
- A search a diligence team would run returns the correct record from the OCR text
- File names follow the index convention and do not collide across records
- The index accounts for the source set without silently dropping documents
Evidence normally required
- The digital records index and a representative sample of its scans
- The metadata schema or field definitions used for the index
- A sample of the source documents to check scans and metadata against
- The naming convention the index was built to
- The searches or query types the index is expected to serve
Common discrepancies
- Image-only scans with no OCR text, so the record never surfaces in a search
- Metadata keyed to the wrong tail or date, contaminating results across the set
- A record present in the source but missing from the index without a trace
- File names that collide, so two records resolve to the same reference
What is at stake
An index that cannot be searched slows diligence even when the underlying records are complete, and a buyer who cannot find a document treats it as a gap. Metadata keyed to the wrong tail contaminates the whole set, and once the scanned copy becomes the working record, an unreadable or misfiled document is effectively lost until someone goes back to paper that may no longer exist.
Move from findings to resolution
Move from findings to a documented resolution path.
How the work runs
Sample by category
Draw a representative sample across the record types the index covers.
Test legibility and metadata
Check sampled scans against their source for readability and correct tail, date, and type.
Run real searches
Query the OCR text the way a diligence team would and confirm the right record returns.
Report the defect rate
Give a defect rate by category and list the records that misname, misfile, or fail to surface.
What the buyer receives
- An index-quality assessment covering legibility, metadata, OCR, and naming
- A sample-based defect rate reported by record category
- A list of records the index misnames, misfiles, or cannot surface
Who uses the output
- Asset managers deciding whether a scanned set is fit to open as a data room
- Records teams remediating a scanning pass before the digital copy becomes the working record
- Diligence teams who need to trust that a search returns the right document
How the work fits into the transaction or program
The indexing review sits between a scanning pass and the point the digital set is relied on for diligence or as the record of custody. It does not judge whether the underlying records are complete; it judges whether they can be found, so the defect list can be worked before a buyer or an auditor concludes a findable record is a missing one.
Aircraft-specific considerations
A320-family records sets are large, and the type's frequent cabin and avionics modification history means many near-duplicate documents that are easy to misfile or mislabel during scanning. Life-limited status sheets and release certificates are the records where an OCR misread or a metadata error most often hides the exact document a diligence query is trying to reach.
Regulatory limits
The review assesses the usability and accuracy of the digital index against its source. It does not certify the completeness of the underlying records, validate their content, or make any airworthiness determination.
What this review does not cover
- Judging whether the underlying records themselves are complete or compliant
- Re-scanning or re-indexing the records set
- Any airworthiness determination on the aircraft
Specific to this review
- A findable record and a present record are not the same thing: a diligence team treats an unsearchable document as missing and prices the uncertainty.
- Metadata keyed to the wrong tail contaminates results well beyond the single record, because it pollutes every search that touches that field.
- Once the scanned copy becomes the working record, a misfiled or image-only document is effectively lost until someone returns to paper that may no longer be retained.
Sources
Federal Aviation Administration. FAA acceptance criteria for electronic recordkeeping systems and electronic signatures.
Federal Aviation Administration. FAA guidance on making and keeping maintenance records and acceptable recordkeeping practices.
European Union / EASA. Continuing airworthiness, maintenance records, CAMO responsibilities, and the airworthiness review process in the EASA system.
U.S. Government (eCFR). Records an owner or operator must keep, including total time in service, current status of life-limited parts, and AD compliance.
Frequently asked questions
Does this tell us whether the records are complete?
No. This review judges whether the digital set is usable, not whether the underlying records exist. A separate records review addresses completeness. Here the question is whether a search returns the right document, since an unsearchable record reads as a missing one during diligence.
Relevant glossary terms
Related pages
Where this fits
Talk to an engineer who has done this work
We will walk through your current state, the records or evidence involved, and a scoped first engagement.
Talk through the aircraft, records, evidence, deadline, and next useful step.