DPIA review register for high-risk data pipelines
Problem
A data protection impact assessment gets written once, when a new wearable feed or medical record pipeline is first proposed, then saved as a PDF in a compliance folder and filed. Nobody revisits it when the vendor adds a new biometric metric, when the pipeline gains a new downstream consumer, or when the review interval set by the organisation's own policy comes round. The head of data assumes legal is tracking it. Legal assumes the data team will flag a change. Nothing forces either. The gap surfaces when an auditor, a sponsor's compliance team or a league data-sharing partner asks for the current version, and the version on file describes a pipeline that no longer matches what runs in production.
Product idea
A register listing every processing activity that required a data protection impact assessment: which pipeline, what special-category data it touches, such as biometric, medical or financial, the current assessment document, its review date, and its owner. When a review falls due, the owner receives a task confirming whether the pipeline still matches the assessment on file or has changed enough to need a fresh one. An unacknowledged task escalates to a named backup after a set number of days. Every review, confirmed or escalated, is logged with reviewer, date and outcome, producing an audit trail rather than a folder of PDFs with no history behind them. It does not write or interpret the assessment itself: the legal judgement about risk stays with whoever owns that pipeline, the same as today.
Who it is for
Data protection leads, the head of data who signs off on pipeline changes, and data engineers who need to know when a processing change requires a fresh review before it ships.
Possible first version
A web register where each processing activity is entered manually, with its data categories, current assessment document link, owner and review interval. On the due date the owner receives an email task to confirm the pipeline still matches the assessment or flag it for rewrite; an unanswered task escalates to a named backup after a set number of days. A log page shows every past review with its outcome and date. Version one does not scan the warehouse for schema changes that might trigger an earlier review, and it does not store or version the assessment document itself, only a link to wherever it already lives.
- Build classification
- Workflow application
- Rough effort
- 5-week first release
- Roles involved
- Head of data, Head of IT, Data engineer
- Relevant to
- Professional club, League office, Federation / governing body, Collegiate athletics
- Systems in play
- Spreadsheets, Email, Data catalogues and quality monitoring
- Product framing
- Manage compliance
Questions we get asked
What do we need to have ready before this is useful?
A starting list of processing activities that already required an assessment, with the document location and a named owner for each. Where that list does not exist yet, building it is the real first task, and it usually surfaces activities nobody remembers required one. Review intervals can start at a sensible default and be tightened per activity once the register is live. The tool has no value sitting empty; it earns its keep once the first review comes due and something other than memory decides whether it happens.
We already track this in a compliance spreadsheet that mostly works. Why change?
The spreadsheet is often fine as a record. What it rarely does is chase anyone when a date passes, which is the actual failure mode: not that the row does not exist, but that nobody looked at it in a long time. This does not need to replace the spreadsheet as a store of what was decided. It replaces the part that depends on someone remembering to check a date, with an escalation that fires on its own when the owner does not respond.
Does it write the assessment or judge whether the risk is acceptable?
No, and it should not. Whether a pipeline's risk profile still holds is a legal and data protection judgement, and that stays with whoever owns it, the same as it does today. The register only tracks whether that judgement has been revisited on schedule and records the outcome. If a reviewer confirms nothing has changed without genuinely checking, the register cannot catch that. It removes the excuse of a missed date, not the need for someone to actually look.
Who ends up owning this day to day, and what does it cost them in time?
Usually the data protection lead or head of data owns the register itself: adding activities, setting intervals, watching the escalation list. Individual pipeline owners only see a task when their review is due, which should take minutes if the pipeline has not changed. The risk worth naming is box-ticking: if reviewers start confirming without checking, the audit trail looks clean while the actual assessments go stale. That failure mode is a management problem the tool cannot fix on its own.
Is this your workflow?
Tell us one sports workflow that still runs on paper, spreadsheets, WhatsApp or an outdated system. We will map it and show you what a simpler product looks like.
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