Metadata Record Triple Completeness ID-Creator-Date Checker
Metadata ID/creator/date presence audit, not creator authentication, exact date certainty or standards-complete museum cataloguing. Attribution/date text may explicitly state unknown. Independently witnessed columns in order: object identifier independently present, creator/attribution information independently present, creation date/date-range information independently present. Known missing and unknown evidence stay distinct; not approval, compliance, readiness, authenticity or safety certification.
Description
A metadata triple records an object identifier, creator attribution and creation-date information.
A metadata triple records an object identifier, creator attribution and creation-date information.1
Annotated completeness is distinct from verifying the truth of a catalogue record.
When to use Metadata Record Triple Completeness ID-Creator-Date Checker
Use this tool to calculate or review the supplied observations under the stated rules. Establish the object or visitor scope, measurement units and independently applicable conservation, engineering, access or editorial reference.
How to use Metadata Record Triple Completeness ID-Creator-Date Checker and understand its results
- Establish the object or visitor scope, measurement units and independently applicable conservation, engineering, access or editorial reference.
- Enter observedCriterionFlags, criterionKnownFlags, using the field meanings and rules below, then run the tool.
- Read result.witnessedCriteria, result.knownMissingCriteria, result.unknownCriteria. Use the units and sign conventions below. Review unresolved records and any possible bounds separately from known results.
- Correct any reported input issue and run again. Before using a successful result, check the stated units, signs, reference scope and observation coverage.
| Input field | Meaning | Value type | Requirement |
|---|---|---|---|
| observedCriterionFlags | Observed criterion flags | list of number | Required |
| criterionKnownFlags | Criterion known flags; binary 1 means the matched observation is known, 0 means unknown | list of number | Required |
Enter exactly 3 independently annotated criterion flags and matched known flags in the listed order. Both lists must contain only 0 or 1. A known criterion is recorded as witnessed when its flag is 1 and missing when its flag is 0. An unknown criterion remains unknown irrespective of its placeholder flag. Return the three label lists and witnessed count; this is an evidence inventory without an overall pass, diagnosis or approval decision.
| Zero-based column | Criterion |
|---|---|
| 0 | object identifier independently present |
| 1 | creator/attribution information independently present |
| 2 | creation date/date-range information independently present |
witnessed={label_i:known_i=1 and flag_i=1}; missing={label_i:known_i=1 and flag_i=0}; unknown={label_i:known_i=0} Use the matching field units and the exact boundary, ordering and reference rules above.
| Output field | Meaning | Value type |
|---|---|---|
| result | Structured result; its nested fields below contain the actual calculation or selected reference | object |
| result.witnessedCriteria | Criterion labels with known flag 1 and observed flag 1 | list |
| result.knownMissingCriteria | Criterion labels with known flag 1 and observed flag 0 | list |
| result.unknownCriteria | Criterion labels with known flag 0; their observed placeholder flag does not resolve the evidence | list |
{
"input": {
"observedCriterionFlags": [
1,
1,
1
],
"criterionKnownFlags": [
1,
1,
1
]
},
"output": {
"result": {
"witnessedCriteria": [
"object identifier independently present",
"creator/attribution information independently present",
"creation date/date-range information independently present"
],
"knownMissingCriteria": [],
"unknownCriteria": []
}
}
}Limitations and assumptions
Object condition, observation coverage and applicable references determine applicability. A supplied comparison or record does not certify conservation treatment, engineering, access compliance or insurance eligibility.
Missing required fields, unknown fields, wrong types and violated rules return input issues. Numeric values and outputs must be finite. Lists and matrices must be dense, without missing cells. Numeric lists allow at most 10000 entries; ordinary string lists allow at most 128 strings of 128 UTF-16 units each; numeric matrices allow at most 128 rows and 128 columns, subject to narrower requirements above. Extremely large composite outputs are rejected.
Alternative or Complementary methods
For a related step, use Waverly Criteria Points Quick Scorer: The Waverley criteria concern historical, aesthetic and research significance in a declared assessment context. For a complementary comparison, use Significance Value Score Weighted Sum Calculator: Collection significance can be summarized through an independently adopted criterion rubric.
References
Similar or alternative tools
- Waverly Criteria Points Quick Scorer
The Waverley criteria concern historical, aesthetic and research significance in a declared assessment context.
- Significance Value Score Weighted Sum Calculator
Collection significance can be summarized through an independently adopted criterion rubric.