GLP Study Sample Aliquot Parent Pair Tool

Description

Compare declaredParent with expectedParent and studyId with expectedStudy literally.

Laboratory study records distinguish observations, sample identities, personnel, and supporting sources. Missingness and duplication depend on record scope; a metadata check cannot establish scientific validity or regulatory acceptance.

Compare declaredParent with expectedParent and studyId with expectedStudy literally.

When to use this tool

Use GLP Study Sample Aliquot Parent Pair when you need a laboratory-record consistency or source-support check.

How to use the tool and how it works

Enter sampleId, aliquotId, declaredParent, expectedParent, studyId, expectedStudy. Use the units and conventions below.
Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
Read parentMatches, studyMatches, aliquotKey. Inspect parentMatches, studyMatches before interpreting the associated values.

Compare declaredParent with expectedParent and studyId with expectedStudy literally. Return a JSON-array aliquotKey of studyId, sampleId, and aliquotId.^[1]

Input field	Meaning and units	Accepted input
sampleId	Sample Id	Required. Text; maximum UTF-16 length 8192.
aliquotId	Aliquot Id	Required. Text; maximum UTF-16 length 8192.
declaredParent	Declared Parent	Required. Text; maximum UTF-16 length 8192.
expectedParent	Expected Parent	Required. Text; maximum UTF-16 length 8192.
studyId	Study Id	Required. Text; maximum UTF-16 length 8192.
expectedStudy	Expected Study	Required. Text; maximum UTF-16 length 8192.

Output field	Interpretation	Returned shape
parentMatches	Parent Matches	Required. Boolean.
studyMatches	Study Matches	Required. Boolean.
aliquotKey	Aliquot Key	Required. Text; maximum UTF-16 length 8192.

json

{
  "input": {
    "sampleId": "S1",
    "aliquotId": "A1",
    "declaredParent": "P1",
    "expectedParent": "P1",
    "studyId": "ST1",
    "expectedStudy": "ST1"
  },
  "output": {
    "parentMatches": true,
    "studyMatches": true,
    "aliquotKey": "[\"ST1\",\"S1\",\"A1\"]"
  }
}

Limitations and assumptions

Identity flags are independent and the key does not include declaredParent; no specimen lineage, sample contents, study authority, or chain of custody is verified.
Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.

Alternative or Complementary methods

Review the controlled study records and audit trail for the complete evidentiary chain. Resolve duplicate identifiers, sampling units, and authorization rules before drawing study-level conclusions.

References

Calculation and input contract: glp/glp-study-sample-aliquot-parent-pair — tool.io

Similar or alternative tools

GLP Sample Lot Parent Token
Test lotId in knownLotIds and flag any prior record linking the same sampleId to a different lot, then return a lot/sample JSON-array key.
GLP Study Personnel Role Window
Independently test personId in authorizedPeople, role in authorizedRoles, and eventDay inside the inclusive window.