Protocol deviation resolution records across systems: a system map of the keys that join one case

Short answer

Five keys reconstruct protocol deviation resolution across systems: study and site number, participant study ID, visit identifier, the protocol version or amendment in force, and the deviation or CAPA number. Data capture holds the visits, the quality system holds deviations and corrective actions, the document file holds protocols and activation letters, and statistics files hold analysis decisions. If any key is missing, each system tells part of the story and nothing joins them.

Visual briefFull-size diagram
Four systems drawn as nodes (data capture, quality system, document file and statistics files) with a linking key traveling along each connection: participant and visit between data capture and quality, protocol version between data capture and documents, deviation number between quality and statistics, and study and site between documents and statistics, joining one case in the middle.
Illustrative system map for a fictional research organization; real systems and keys vary by company and configuration.

This system map is part of the protocol deviation resolution guide, which covers what to inventory before a migration. Here the focus is structural: where each record lives, which identifier links it to the next, and who owns each piece.

The map: system, record, linking key, owner

Four systems typically hold the pieces of one deviation. The table is the evidence asset for this page; names are system types, not products.

SystemRecord it holdsLinking key it carriesUsual owner
Trial management or data captureVisit dates, participant schedule, site statusStudy and site, participant study ID, visit identifierHead of clinical operations
Quality systemDeviation entries, classifications, investigations, CAPAsDeviation and CAPA numbers; study and site, usuallyQuality director
Document fileProtocol, amendments with effective dates, IRB letters, site activationStudy, site and amendment numberRegulatory or clinical operations lead
Statistics filesAnalysis population decisions, protocol deviation listingsParticipant study ID; deviation number, sometimesHead of biostatistics
Audit trail in each systemWho changed what, and whenRecord ID plus timestampEach system's owner and validation team

Read across a row to see what a system knows; read down the third column to see which keys are shared. A key that appears in only one row cannot join anything.

The five keys, and what each one proves

Study and site number. Groups deviations the way regulators read them. ICH E3 asks that important deviations in a clinical study report be summarized by site and category, so this key is usually present everywhere.

Participant study ID. Ties a deviation to the participant's visits. It is often typed into the quality system by hand, or left out, and it is an identifier to handle carefully.

Visit identifier and date. Proves the timing that defines the departure. Without it, "visit out of window" is a claim with no measurement.

Protocol version in force. Proves which rule applied. This is often the weakest key, because amendments live in the document file while deviations live in a log. Whether a departure counts as minor or important depends on what the protocol said on that date, so a missing version leaves the grading itself unverifiable.

Deviation and CAPA number. Proves the remedy answered a specific cause. A CAPA that does not carry the deviation number is an orphan.

One fully joined case (Illustrative)

Illustrative only; every value is invented, and the case is different from the late visit in the worked exception example. Amendment 2 of a fictional study lowers a screening lab threshold. Site 03 enrolls a participant under the new threshold two days before the site has activated amendment 2, so under the rules in force the participant was ineligible.

RecordSystemKeys it carriesJoined to
Amendment 2, new lab threshold and effective dateDocument fileStudy 207, amendment 2Site activation, by amendment number
Site 03 activation of amendment 2Document fileStudy 207, site 03, amendment 2, dateScreening visit, by site and date only
Screening visit with the lab valueData captureSite 03, participant 03-118, visit SCRDeviation, by participant and visit
Deviation DEV-311, eligibility, importantQuality systemSite 03, participant 03-118, DEV-311Sponsor decision, by deviation number
Sponsor letter allowing the participant to continueDocument fileStudy 207, DEV-311CAPA, by deviation number
CAPA-58, enrollment check before activationQuality systemCAPA-58, DEV-311Back to the deviation
Excluded from per-protocol set, kept for safetyStatistics filesParticipant 03-118Deviation, by participant only

Two joins rely on something weaker than a shared identifier. The screening visit meets the amendment only through dates, and the statistics decision cites the participant but not DEV-311. Both are typical, and both are what a reviewer will test first.

When the same key is written three ways

Many broken joins are not missing keys but keys typed differently. A reviewer reconciling systems usually meets variants like these, and each one is fixable only if someone knows the convention:

KeyForm in one systemForm in anotherWhat reconciles them
Participant study ID03-1183118, or "Subj 118, site 3"The site numbering convention in the data management plan
Visit identifierSCR, W12"Screening", "Week 12 visit"A visit schedule table mapping codes to names
AmendmentAmendment 2"Protocol v3.0", "Am2 dated March"A version history listing amendment numbers against document versions
Deviation numberDEV-311"Dev 311" in an email subjectA consistent prefix, or a cross-reference list kept by quality
Study207The sponsor's own study codeA study register pairing internal and sponsor codes

Ask whether these conventions are written down. A company with a data management plan, a visit schedule table and a study register can usually be joined by a script; one without them needs a person who remembers.

Where the joins break, and why audit trails matter

The common breaks are predictable: the participant ID typed differently in two systems, the protocol version never stored per deviation, a CAPA with no deviation number, statistics decisions that cite participants but not deviations. Each can be partly recovered if the dates survive.

Audit trails decide whether a reclassification, such as a deviation regraded after review, can be seen at all. FDA's Part 11 rule calls for secure, computer-generated, time-stamped audit trails in which changes do not obscure earlier entries, kept at least as long as the records themselves. A quality system that meets that standard shows both an original classification and any later correction, with who made each and when. Whether a given platform exports those trails in usable form varies by product, version and contract; the company should confirm it with its own vendors. Partners should not describe a platform's export features to a client as fact.

Questions for the systems owner

Ask at metadata level, and record only the answers:

  1. Which of the five keys does each system store as a field, rather than in free text?
  2. Is the protocol version stored per deviation, and since when?
  3. Do CAPAs carry the deviation number?
  4. Do statistics files cite deviation numbers?
  5. Are audit trails kept for classification changes, and for how many years?
  6. Which system is being replaced next, and on what documented date?

The workflow map template gives a blank layout for the answers, and the PLM migration guide shows the same join questions in engineering systems.

Who can act on the map, and does the company qualify?

The quality director can confirm the map. The CEO or COO decides whether to explore licensing, and counsel reads sponsor contracts, since trial records are often sponsor-controlled while the company's own procedures and internal audits may not be. The referral brief template carries the map's answers into the introduction. For a research company closing rather than migrating, see biotech wind-down; for comparable operational records in production, see manufacturing data monetization.

For SourceX, an introduced company needs 50+ full-time employees at peak (contractors excluded), a documented operating history, rights to license and an authorized contact. Companies in the U.S., Canada and the EU qualify, as do companies in the UK, Australia, New Zealand, India, Singapore, South Africa, Latin America, the UAE and Saudi Arabia when at least 90% of the data is in English. What stays unknown until SourceX reviews it: which record classes the company controls, the de-identification needed, SourceX's current data needs and any offer. SourceX licenses approved business data directly from companies for AI training and evaluation, and manages the agreement, rights review, data preparation, delivery and payout. Partners sign the Channel Partner Agreement before submitting, and the first valid introduction within the 90-day window is credited when the company submits a verified application.

Next step

Refer a company. Earn up to $100,000. Default reward: 25% of Actual Supplier Payout, capped at $100,000 cumulatively per referred company. Eligibility and payment conditions apply, and a signed Schedule A or addendum can differ. A lead, meeting or signature alone does not trigger payment.

If the map shows a client's deviations, amendments, CAPAs and analysis decisions still join by key across years of studies, register as a partner, check the company on who qualifies and read the program terms before the introduction.

  1. Step 1Share your linkSend your personal link to a company you know.
  2. Step 2Company appliesThe company applies itself at /apply.
  3. Step 3Company signs and is paidThe company signs, delivers its data and is paid by SourceX under its agreement.
  4. Step 4You get your rewardYour 25% of the actual supplier payout. A reward becomes payable after SourceX has paid the referred company under its signed agreement and the payout conditions in the program terms are met, including finance approval and your tax and payment details.

Common questions

What if the protocol version was never stored on the deviation?

It can often be inferred from the amendment's effective date and the site activation date, provided both survive. The reconstruction is weaker, and the brief should say the version is inferred rather than recorded.

Does the partner need to know which vendor products the company uses?

Plain-text system types are enough, such as "trial management" or "quality system". Export capabilities vary by product, version and contract, so the company confirms them with its own vendors and validation team.

Are statistics team files really part of deviation history?

Often, because they hold the decision about what a deviation did to the analysis. Without that link, a deviation history shows the problem and the fix but not the consequence.

Sources

  1. ecfr.gov/current/title-21/chapter-I/subchapter-A/part…
  2. database.ich.org/sites/default/files/E3_Guideline.pdf
  3. refer.sourcex.si/terms

Free resources

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