AnzarSeha

REDCap and AnzarSeha

By Dr Rida Akodad · Publication director · Updated 21 August 2026

REDCap is the reference tool of academic clinical research, developed at Vanderbilt University and distributed to a consortium of institutions. This page states what the two tools share, where the real difference lies, and — above all — what it does not claim to establish.

What this page does not do

What this page offers instead: the structural difference between the two models — which is verifiable and stable — and a list of questions to ask your own installation. It is less spectacular and it stays true.

What the two tools share

The overlap is substantial, and denying it would help nobody. Both tools address the same underlying problem: producing a defensible research dataset from structured capture.

  • A typed variable dictionary that precedes capture and constrains entry.
  • A collection form generated from that dictionary, with validation rules.
  • An audit trail recording modifications.
  • Exports to the usual statistical environments.
  • Per-user access management and per-study separation.

A reader already using REDCap under good conditions therefore has most of what is described in clinical data management. The purpose of this page is not to cast doubt on that.

The structural difference

It concerns not features but the distribution model, and it has direct practical consequences.

REDCapAnzarSeha
ModelSoftware distributed to a consortium of institutions, installed and administered by eachHosted application, administered by its publisher
Access conditionThat your institution is a member and runs an installationAn account
AdministrationBy the institution's IT departmentBy the publisher
Control over hostingTotal — the institution hosts itNone — a real disadvantage, mitigated by export in open formats
Maturity and communityLong established, abundant documentation and peer supportRecent, with no established community
Starting point of a studyAn empty project to buildA dictionary generated from the pathology catalogue

The two points where AnzarSeha makes a different choice

They are stated as choices, not presented as superiorities.

1. The dictionary is generated, not built

A research project starts in AnzarSeha with an already-typed dictionary drawn from the pathology catalogue: staging, work-up, scores and markers are there, with their units and bounds. The work becomes adjustment rather than construction. The trade-off is plain: outside the covered pathologies this advantage disappears, and the form is built variable by variable, as elsewhere.

2. Extraction from free text is a first-class capture route

The provenance of a value — registry, rule, model quoting its source sentence, human decision — is a column of the data model, not a data-entry convention. This choice targets the retrospective case, where most information sits in reports. Detail: assisted extraction and provenance.

Questions to ask your installation

Rather than a feature table written from a distance, here is what actually separates a usable installation from a nominal one. These questions apply to any tool, ours included.

  1. Can I open a project this week, or does it require a request? Administrative delay is the leading cause of abandonment.
  2. Does the log record a reason, or only the change? The distinction is treated in the audit trail.
  3. Is there a freeze state distinct from the end of data entry? Without one, nothing separates capture time from analysis time.
  4. Does the export include the dictionary and the missing-value table, or only the data? See the dataset.
  5. Are reasons for absence distinct from an empty value?
  6. Who can delete a project, and does deletion leave a trace?

Frequent questions

Is REDCap free?

REDCap is distributed to a consortium of institutions, largely academic and non-profit, under terms set by its developers at Vanderbilt University. What it costs an end user therefore depends entirely on their institution's policy, and should be checked with them rather than inferred from a web page.

Can data be migrated between the two?

In both directions the difficulty is not moving the data but moving the definitions. Columns transfer easily; a typed dictionary, bounds and reasons for absence require rework. Plan a dictionary-building pass either way.

Why does this page not conclude?

Because the conclusion depends on two facts we do not know: whether your institution runs an installation, and which pathology you work on. A comparison page that concludes without those two is concluding about something other than your case.

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