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Longitudinal Child Pseudonym Version Label Tool

Associate an explicit longitudinal-study pseudonym with its supplied version without asserting deidentification.

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Description

Associate an explicit longitudinal-study pseudonym with its supplied version.

Developmental research records separate actual observations, coder presence, task versions, response states, caregiver reports and exposure counts. Calendar age differs from developmental status, while a symbol match or parent-teacher rating gap is only a recorded comparison. Pseudonyms and supplied source labels do not themselves protect identity or validate evidence.

Associate an explicit longitudinal-study pseudonym with its supplied version.

When to use this tool

Use Longitudinal Child Pseudonym Version Label when you already have participantId, pseudonym, version and need to associate an explicit longitudinal-study pseudonym with its supplied version.

How to use the tool and how it works

  1. Enter participantId, pseudonym, version. Use the units and conventions below.
  2. Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
  3. Read token. Use the output convention below.

Enter participantId, pseudonym, version using the field constraints below. Encode these values, in exactly that order, as a JSON array and return the serialized array as text in token. String values are preserved without trimming or external terminology lookup.1

Input fieldMeaning and unitsAccepted input
participantIdParticipant IdRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 8192.
pseudonymPseudonymRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 8192.
versionVersionRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 8192.
Output fieldInterpretationReturned shape
tokenTokenRequired. Text; maximum UTF-16 length 8192.
json
{
  "input": {
    "participantId": "P17",
    "pseudonym": "Child A",
    "version": "v2"
  },
  "output": {
    "token": "[\"P17\",\"Child A\",\"v2\"]"
  }
}

Limitations and assumptions

  • The result records supplied values without asserting deidentification. Sources and asserted relationships are not independently authenticated.
  • 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

Use the complete study or assessment method, observation records and context for developmental interpretation. Review task adaptations, reporter perspectives and data protection together; local counts, time gaps and status labels do not establish ability, diagnosis or suitable support.

References

  1. Calculation and input contract: developmental-psychology/longitudinal-child-pseudonym-version-label — tool.io

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