Show that research data moved between systems without silent loss, alteration or broken context
A research data migration reconciliation report should explain what moved, how source fields mapped to target fields, which metadata and audit history were preserved, what counts and values were compared, which differences were expected, which exceptions remained, and who accepted the result. English matters because migration, conversion, reconciliation, validation and release describe different controls.
Choose the route closest to your task, or read straight through for the complete system.
People search for a clinical data migration reconciliation report, legacy system migration validation and database migration checklist because a “100% successful” system message may count files without proving that values, relationships, permissions, histories and meanings survived.
A useful report identifies source and target systems and versions; migration scope and cut-off; field mappings; transformations; code lists; metadata and audit trails; counts; checksums; sample and boundary tests; failed records; privacy controls; remediation; reruns; residual risk and acceptance.
The mechanism is traceable comparison. Expected differences are specified in advance, unexpected differences are investigated, and the final decision is based on reconciled evidence rather than visual similarity.
This guide was checked on 11 October 2026. The approved migration plan, validation strategy, protocol, data-management and statistical plans, security controls and applicable requirements govern a real migration.
Students can practise by moving a project table into a new spreadsheet structure. Map every column first, preserve units and code meanings, compare record counts and unique IDs, test blank values and dates, and record any deliberate change. Parents can ask whether the new file tells the same story and whether someone else can reproduce the comparison.
Did You Know? ICH E6(R3) says system migration should be documented for traceability and reconciled as appropriate to avoid data loss and unintended modifications. It also expects relevant metadata, including audit trails, to remain interpretable and available for review.
Find the section you need
Plan the comparison · 2 chapters
Map the meaning · 2 chapters
Reconcile evidence · 2 chapters
Investigate differences · 2 chapters
Accept and preserve · 3 chapters
Replacement, consolidation and archival migration create different acceptance needs.
State business and research purpose, source, target, users, record classes, excluded functions and decision authority.
The migration moves trial data and metadata to an archive while leaving active safety processing elsewhere.
What to check
- State purpose
- Name systems
- Name scope
- Name authority
Write a source-to-target mapping for one coded field and its metadata.
Ask whether the target preserves the context needed to interpret critical data.
Boundary: Do not describe an archive copy as an operational replacement without evidence.
Learning transfer: Purpose supports research.
Write one sentence that states the evidence, one that states its limit, and one that states the next responsible action. Then test each noun, number, condition and source against the controlled document. Replace vague confidence with a traceable reason.
System names hide releases, modules and local settings that affect meaning.
Record source and target versions, environments, schemas, configurations, time zones, languages and validated tools.
The report identifies the legacy release and target archive viewer used for verification.
What to check
- Name version
- Name environment
- Name schema
- Name tools
Build a reconciliation table that separates expected and unexpected differences.
Check whether reruns are uniquely identified and reproducible.
Boundary: Use controlled configuration records.
Learning transfer: Source identity supports English.
Write one sentence that states the evidence, one that states its limit, and one that states the next responsible action. Then test each noun, number, condition and source against the controlled document. Replace vague confidence with a traceable reason.
Data may change while extracts and loads are running.
Define freeze, cut-off, transaction boundary, late-entry process, rerun rules and version labels.
The migration captures data through 22:00 UTC; later corrections enter a dated delta load.
What to check
- Set freeze
- Set cut-off
- Plan delta
- Label run
Draft an acceptance sentence that states residual risk instead of claiming perfection.
Confirm that legacy shutdown follows successful access and retrieval testing.
Boundary: Never combine reruns without traceability.
Learning transfer: Timeline reasoning supports planning.
Write one sentence that states the evidence, one that states its limit, and one that states the next responsible action. Then test each noun, number, condition and source against the controlled document. Replace vague confidence with a traceable reason.
One source field may split, merge, recode or have no target.
Map tables, fields, types, lengths, relationships, keys, code lists, units, nulls and disposition.
A free-text status becomes a controlled code while the original value remains in a preserved field.
What to check
- Map fields
- Map types
- Map codes
- Map disposition
Write a source-to-target mapping for one coded field and its metadata.
Ask whether the target preserves the context needed to interpret critical data.
Boundary: Every unmapped field needs a documented decision.
Learning transfer: Representation supports science.
Write one sentence that states the evidence, one that states its limit, and one that states the next responsible action. Then test each noun, number, condition and source against the controlled document. Replace vague confidence with a traceable reason.
Silent default values and truncation can change study meaning.
List conversion, derivation, default, rounding, time-zone change, character encoding and handling of invalid data.
A timestamp converts to UTC while retaining original offset and transformation evidence.
What to check
- List conversion
- List default
- Set precision
- Handle invalids
Build a reconciliation table that separates expected and unexpected differences.
Check whether reruns are uniquely identified and reproducible.
Boundary: Transformation rules should be approved before execution.
Learning transfer: Method supports mathematics.
Write one sentence that states the evidence, one that states its limit, and one that states the next responsible action. Then test each noun, number, condition and source against the controlled document. Replace vague confidence with a traceable reason.
Values without origin and change history may be unusable for evaluation.
Identify relevant creator, time, source, reason, permissions, workflow and audit-trail elements; test interpretability.
The target shows initial entry, later correction, person, time and reason for critical data.
What to check
- Keep origin
- Keep time
- Keep reason
- Test history
Draft an acceptance sentence that states residual risk instead of claiming perfection.
Confirm that legacy shutdown follows successful access and retrieval testing.
Boundary: Do not flatten required audit trails into an unreadable dump.
Learning transfer: Context supports digital literacy.
Write one sentence that states the evidence, one that states its limit, and one that states the next responsible action. Then test each noun, number, condition and source against the controlled document. Replace vague confidence with a traceable reason.
Matching total rows may hide duplicates and missing participants.
Compare tables, records, unique keys, sites, participants, visits, attachments, duplicates, orphans and exclusions.
Totals match only after one rejected test account is documented as an approved exclusion.
What to check
- Count tables
- Count keys
- Find duplicates
- Find orphans
Write a source-to-target mapping for one coded field and its metadata.
Ask whether the target preserves the context needed to interpret critical data.
Boundary: Define counting logic and hierarchy.
Learning transfer: Reconciliation supports exams.
Write one sentence that states the evidence, one that states its limit, and one that states the next responsible action. Then test each noun, number, condition and source against the controlled document. Replace vague confidence with a traceable reason.
Counts cannot reveal recoding errors or broken links.
Use full comparison where feasible and risk-based samples otherwise; test boundaries, nulls, long text, special characters and referential integrity.
The team detects that one multibyte character was replaced and retests the corrected encoding.
What to check
- Compare values
- Test boundaries
- Test text
- Test links
Build a reconciliation table that separates expected and unexpected differences.
Check whether reruns are uniquely identified and reproducible.
Boundary: State sampling limits and criticality.
Learning transfer: Verification supports careers.
Write one sentence that states the evidence, one that states its limit, and one that states the next responsible action. Then test each noun, number, condition and source against the controlled document. Replace vague confidence with a traceable reason.
Migration can create temporary files, elevated accounts and broad access.
Control encryption, least privilege, blinded segregation, staging areas, logs, temporary-copy disposal and incident response.
A short-lived migration account is removed after validated load and reconciliation.
What to check
- Encrypt data
- Limit access
- Protect blinding
- Remove staging
Draft an acceptance sentence that states residual risk instead of claiming perfection.
Confirm that legacy shutdown follows successful access and retrieval testing.
Boundary: Security remains active throughout migration.
Learning transfer: Rights awareness supports citizenship.
Write one sentence that states the evidence, one that states its limit, and one that states the next responsible action. Then test each noun, number, condition and source against the controlled document. Replace vague confidence with a traceable reason.
Not every difference is an error, and not every error has the same consequence.
Label expected transformation, source defect, migration error or target limitation; record impact, owner, correction, rerun and retest.
A known source duplicate is preserved and documented, while a migration-created duplicate triggers reload.
What to check
- Classify difference
- Assess impact
- Correct cause
- Retest result
Write a source-to-target mapping for one coded field and its metadata.
Ask whether the target preserves the context needed to interpret critical data.
Boundary: Do not hide unresolved differences in a summary total.
Learning transfer: Honesty supports teamwork.
Write one sentence that states the evidence, one that states its limit, and one that states the next responsible action. Then test each noun, number, condition and source against the controlled document. Replace vague confidence with a traceable reason.
11. Accept migration and control legacy retirement
Back to contentsTechnical completion should not trigger immediate shutdown without access proof.
Record final run, reconciled evidence, residual risk, approvers, archive location, retrieval test, legacy access, retention and decommissioning gate.
An independent user retrieves a critical record from the target before the legacy system becomes read-only.
What to check
- Identify final run
- Approve result
- Test retrieval
- Gate shutdown
Build a reconciliation table that separates expected and unexpected differences.
Check whether reruns are uniquely identified and reproducible.
Boundary: Retain legacy evidence until authorised retirement.
Learning transfer: Closure supports lifelong learning.
Write one sentence that states the evidence, one that states its limit, and one that states the next responsible action. Then test each noun, number, condition and source against the controlled document. Replace vague confidence with a traceable reason.
How to build this kind of English before the job title arrives
Back to contentsStudents do not need professional authority to practise the underlying language. They can learn to define scope, annotate conditions, compare versions, rebuild a timeline, match a number to its unit and explain uncertainty without embarrassment. Parents can ask calm questions: What decision is this document supporting? Which sentence carries the strongest claim? What would make that claim false? Which source would you open next?
Use a three-pass routine. First, map the document: title, owner, audience, date, sections and decision. Second, trace one claim from source to conclusion. Third, explain the limit and next action. This routine strengthens comprehension, science, mathematics, humanities and workplace readiness because it turns English into an evidence tool.
A student should never imitate professional authority. The useful goal is to recognise when a text needs a qualified reviewer, current rule or official decision. Knowing when to pause is part of literacy.
Plan
Define systems, scope, cut-off, users and criteria.
Map
Document fields, codes, transformations and metadata.
Run
Label the load and protect staging, access and blinding.
Reconcile
Compare counts, keys, values, relationships and audit history.
Accept
Resolve differences, retest retrieval and gate shutdown.
Package
Did the intended files arrive?
Count
Did expected tables and records arrive?
Identity
Did the same keys and participants arrive?
Value
Did content survive permitted transformation?
Relationship
Did links, order and context survive?
History
Did required metadata and audit trails remain interpretable?
Each case turns fluent wording into a question about evidence, continuity, privacy or responsibility.
Case 1: Define migration purpose and boundaries
The migration moves trial data and metadata to an archive while leaving active safety processing elsewhere. Identify the shortcut, locate the controlling evidence, explain the practical consequence and write a proportionate repair.
Keep observed evidence, interpretation, decision, owner and verification separate so another reader can reconstruct the reasoning.
Case 2: Build the source-to-target mapping
A free-text status becomes a controlled code while the original value remains in a preserved field. Identify the shortcut, locate the controlling evidence, explain the practical consequence and write a proportionate repair.
Keep observed evidence, interpretation, decision, owner and verification separate so another reader can reconstruct the reasoning.
Case 3: Compare values and relationships
The team detects that one multibyte character was replaced and retests the corrected encoding. Identify the shortcut, locate the controlling evidence, explain the practical consequence and write a proportionate repair.
Keep observed evidence, interpretation, decision, owner and verification separate so another reader can reconstruct the reasoning.
Case 4: Accept migration and control legacy retirement
An independent user retrieves a critical record from the target before the legacy system becomes read-only. Identify the shortcut, locate the controlling evidence, explain the practical consequence and write a proportionate repair.
Keep observed evidence, interpretation, decision, owner and verification separate so another reader can reconstruct the reasoning.
The learner should make the final evidence note independently.
Keep source wording, interpretation, consequence, decision, authority and version separate.
Plan the comparison
Define systems, purpose, scope, cut-off and success criteria. Use Chapters 1–2 to build the evidence path.
Record the source, approved version, people affected, authority, exception and next check before compressing the result into a short note.
Map the meaning
Document fields, codes, relationships, metadata and transformations. Use Chapters 3–4 to build the evidence path.
Record the source, approved version, people affected, authority, exception and next check before compressing the result into a short note.
Reconcile evidence
Compare counts, identities, values, checksums and logs. Use Chapters 5–6 to build the evidence path.
Record the source, approved version, people affected, authority, exception and next check before compressing the result into a short note.
Investigate differences
Separate expected conversions from loss, duplication and error. Use Chapters 7–8 to build the evidence path.
Record the source, approved version, people affected, authority, exception and next check before compressing the result into a short note.
Accept and preserve
Retest, approve, archive evidence and control legacy shutdown. Use Chapters 9–10 to build the evidence path.
Record the source, approved version, people affected, authority, exception and next check before compressing the result into a short note.
Finish with what the evidence supports, what remains uncertain and what authorised action follows.
The underlying evidence should remain stable while emphasis and next action change with the reader.
Student lens
Use a school-project example to practise identity, version, authority and evidence without handling live confidential data.
Explain the decision aloud, then ask a classmate to find the source and repeat the check.
Parent or mentor lens
Ask calm questions about what the record proves, what remains uncertain and who controls the next action.
Support careful reasoning without turning a technical document into a promise or accusation.
Operational lens
Record source and target versions, environments, schemas, configurations, time zones, languages and validated tools.
Use controlled configuration records.
Quality lens
Control encryption, least privilege, blinded segregation, staging areas, logs, temporary-copy disposal and incident response.
Security remains active throughout migration.
Independent-reader lens
Record final run, reconciled evidence, residual risk, approvers, archive location, retrieval test, legacy access, retention and decommissioning gate.
Retain legacy evidence until authorised retirement.
Adaptation helps only when identity, source, status, rights and decision boundaries remain intact.
Use this map to connect each local writing choice with its operational consequence and limit.
Control 1: Define migration purpose and boundaries
Replacement, consolidation and archival migration create different acceptance needs. The practical response is to state business and research purpose, source, target, users, record classes, excluded functions and decision authority.
Worked signal: The migration moves trial data and metadata to an archive while leaving active safety processing elsewhere. Boundary: Do not describe an archive copy as an operational replacement without evidence. The transferable learning is that purpose supports research.
Control 2: Identify system versions and configuration
System names hide releases, modules and local settings that affect meaning. The practical response is to record source and target versions, environments, schemas, configurations, time zones, languages and validated tools.
Worked signal: The report identifies the legacy release and target archive viewer used for verification. Boundary: Use controlled configuration records. The transferable learning is that source identity supports English.
Control 3: Set cut-off and control change
Data may change while extracts and loads are running. The practical response is to define freeze, cut-off, transaction boundary, late-entry process, rerun rules and version labels.
Worked signal: The migration captures data through 22:00 UTC; later corrections enter a dated delta load. Boundary: Never combine reruns without traceability. The transferable learning is that timeline reasoning supports planning.
Control 4: Build the source-to-target mapping
One source field may split, merge, recode or have no target. The practical response is to map tables, fields, types, lengths, relationships, keys, code lists, units, nulls and disposition.
Worked signal: A free-text status becomes a controlled code while the original value remains in a preserved field. Boundary: Every unmapped field needs a documented decision. The transferable learning is that representation supports science.
Control 5: Document transformations and rules
Silent default values and truncation can change study meaning. The practical response is to list conversion, derivation, default, rounding, time-zone change, character encoding and handling of invalid data.
Worked signal: A timestamp converts to UTC while retaining original offset and transformation evidence. Boundary: Transformation rules should be approved before execution. The transferable learning is that method supports mathematics.
Control 6: Preserve metadata and audit history
Values without origin and change history may be unusable for evaluation. The practical response is to identify relevant creator, time, source, reason, permissions, workflow and audit-trail elements; test interpretability.
Worked signal: The target shows initial entry, later correction, person, time and reason for critical data. Boundary: Do not flatten required audit trails into an unreadable dump. The transferable learning is that context supports digital literacy.
Control 7: Reconcile counts and keys
Matching total rows may hide duplicates and missing participants. The practical response is to compare tables, records, unique keys, sites, participants, visits, attachments, duplicates, orphans and exclusions.
Worked signal: Totals match only after one rejected test account is documented as an approved exclusion. Boundary: Define counting logic and hierarchy. The transferable learning is that reconciliation supports exams.
Control 8: Compare values and relationships
Counts cannot reveal recoding errors or broken links. The practical response is to use full comparison where feasible and risk-based samples otherwise; test boundaries, nulls, long text, special characters and referential integrity.
Worked signal: The team detects that one multibyte character was replaced and retests the corrected encoding. Boundary: State sampling limits and criticality. The transferable learning is that verification supports careers.
Control 9: Protect confidentiality and security
Migration can create temporary files, elevated accounts and broad access. The practical response is to control encryption, least privilege, blinded segregation, staging areas, logs, temporary-copy disposal and incident response.
Worked signal: A short-lived migration account is removed after validated load and reconciliation. Boundary: Security remains active throughout migration. The transferable learning is that rights awareness supports citizenship.
Control 10: Classify discrepancies and remediate
Not every difference is an error, and not every error has the same consequence. The practical response is to label expected transformation, source defect, migration error or target limitation; record impact, owner, correction, rerun and retest.
Worked signal: A known source duplicate is preserved and documented, while a migration-created duplicate triggers reload. Boundary: Do not hide unresolved differences in a summary total. The transferable learning is that honesty supports teamwork.
Control 11: Accept migration and control legacy retirement
Technical completion should not trigger immediate shutdown without access proof. The practical response is to record final run, reconciled evidence, residual risk, approvers, archive location, retrieval test, legacy access, retention and decommissioning gate.
Worked signal: An independent user retrieves a critical record from the target before the legacy system becomes read-only. Boundary: Retain legacy evidence until authorised retirement. The transferable learning is that closure supports lifelong learning.
A complete record does not merely sound organised; it lets an authorised reader reproduce the decision, see its boundary and know what to do when conditions change.
Rebuild each decision chain, then compress it without losing its controlling condition.
Identify system versions and configuration
System names hide releases, modules and local settings that affect meaning. Record source and target versions, environments, schemas, configurations, time zones, languages and validated tools. Example: The report identifies the legacy release and target archive viewer used for verification.
Test identity, source, scope, date, authority, version, privacy and exception before accepting the conclusion.
Set cut-off and control change
Data may change while extracts and loads are running. Define freeze, cut-off, transaction boundary, late-entry process, rerun rules and version labels. Example: The migration captures data through 22:00 UTC; later corrections enter a dated delta load.
Test identity, source, scope, date, authority, version, privacy and exception before accepting the conclusion.
Document transformations and rules
Silent default values and truncation can change study meaning. List conversion, derivation, default, rounding, time-zone change, character encoding and handling of invalid data. Example: A timestamp converts to UTC while retaining original offset and transformation evidence.
Test identity, source, scope, date, authority, version, privacy and exception before accepting the conclusion.
Reconcile counts and keys
Matching total rows may hide duplicates and missing participants. Compare tables, records, unique keys, sites, participants, visits, attachments, duplicates, orphans and exclusions. Example: Totals match only after one rejected test account is documented as an approved exclusion.
Test identity, source, scope, date, authority, version, privacy and exception before accepting the conclusion.
Classify discrepancies and remediate
Not every difference is an error, and not every error has the same consequence. Label expected transformation, source defect, migration error or target limitation; record impact, owner, correction, rerun and retest. Example: A known source duplicate is preserved and documented, while a migration-created duplicate triggers reload.
Test identity, source, scope, date, authority, version, privacy and exception before accepting the conclusion.
Repeat the exercise after a person, permission, version or timetable changes.
A polished line can conceal a missing definition, version, permission or condition.
Test 1
Ask whether the target preserves the context needed to interpret critical data.
Write the expected result, actual result, evidence, limit and responsible follow-up in separate sentences.
Test 2
Check whether reruns are uniquely identified and reproducible.
Write the expected result, actual result, evidence, limit and responsible follow-up in separate sentences.
Test 3
Confirm that legacy shutdown follows successful access and retrieval testing.
Write the expected result, actual result, evidence, limit and responsible follow-up in separate sentences.
Keep the failed version beside the repair so the learning remains visible.
Answer each prompt in a complete sentence tied to a current instruction, dated source, observation or authorised clarification. Write “unknown” when evidence does not support an answer.
- State purpose? State the evidence and the narrow conclusion it permits.
- Name systems? State the evidence and the narrow conclusion it permits.
- Name scope? State the evidence and the narrow conclusion it permits.
- Name authority? State the evidence and the narrow conclusion it permits.
- Name version? State the evidence and the narrow conclusion it permits.
- Name environment? State the evidence and the narrow conclusion it permits.
- Name schema? State the evidence and the narrow conclusion it permits.
- Name tools? State the evidence and the narrow conclusion it permits.
- Set freeze? State the evidence and the narrow conclusion it permits.
- Set cut-off? State the evidence and the narrow conclusion it permits.
- Plan delta? State the evidence and the narrow conclusion it permits.
- Label run? State the evidence and the narrow conclusion it permits.
Independent-reader test
Ask a careful reader to identify the source, version, custody, authority, uncertainty and next action without private explanation.
Change test
Imagine the custodian, system, provider, requirement or timetable changes tomorrow. Mark every sentence that needs review.
Decision log
Keep the source, date, choice, responsible person and reason, including rejected alternatives that may become relevant later.
Parent or mentor conversation
Ask which words carry the strongest claim, what evidence controls them and what new fact would revise the conclusion.
Do equal record counts prove success?
No. Compare identities, values, relationships, metadata and expected transformations.
May source and target look different?
Yes, if differences are specified, justified, tested and traceable.
What is an expected discrepancy?
A documented result of an approved transformation or exclusion, not an unexplained mismatch.
Should all values be compared?
Use full comparison where feasible and risk-based methods where justified.
When may the legacy system close?
After authorised acceptance, retrieval and continuity controls, not merely after data load.
What belongs in residual risk?
Known limitations, affected scope, controls, owner and review or escalation path.
- ICH E6(R3) Final Guideline
- Singapore HSA — Essential Records
- Why English? | Writing a Research Data Export Validation Record
- Why English? | Writing a Research Archive Retrieval Test Record
Cycle-sensitive facts were checked against current official pages on 11 October 2026. Always reopen the authority’s live page before a real decision.