KONSİL

Research Ethics

How to prepare an ethics committee (IRB) application

Committee types, the 17 sections, and why files get rejected

Updated
9 August 2026
Reading time
14 minutes
Scope
grounded in the Declaration of Helsinki and ICH-GCP

Most ethics applications that bounce back do not bounce for being unethical. They bounce for mundane reasons: the sample size has no justification, the consent form is written in clinical jargon, the methods don't match the stated aim — or the file simply went to the wrong committee. This guide walks through what to write, in what order and at what level of detail, to clear review on the first pass.

Scope note: Committee names and procedures vary by country and institution — IRB in the US, REC in the UK/EU, and national variants elsewhere. This guide describes the shared skeleton; always request your own institution's current template before submitting, since most boards mandate their own form.

1. Find the right committee first

Study typeTypical committeeExtra approval
Drug / biologic / medical-device trial (interventional) Clinical research ethics committee (IRB/REC) National regulator (FDA IND, EMA/national CTA, etc.)
Interventional but non-drug (extra imaging, additional blood draw, randomized behavioural intervention) Clinical research ethics committee Usually none; ask the regulator if a device/drug component appears
Non-interventional: retrospective chart review, survey, scale validation, leftover samples Non-interventional / minimal-risk board (often expedited review) Institutional data-access permission is commonly required
Animal research IACUC (US) / AWERB (UK) / national animal-ethics board (e.g. HADYEK in Türkiye) Laboratory-animal certification for the people performing procedures
Social sciences & humanities with human participants University social/behavioural sciences ethics board Site permission when collecting data in schools or institutions
"Does a retrospective study need ethics approval?" Yes — this is the most common misconception. Never meeting the patient does not mean never using the patient's data. Chart reviews need (usually expedited) board approval, and nearly every journal asks for the approval number at submission. "It was retrospective, so we skipped it" is a desk rejection.

2. The skeleton of the file: 17 sections

Forms differ; the content boards expect is remarkably consistent. The third column is the question a board member silently asks at each section — if your text answers it in one sentence, you're on track:

#SectionWhat the board looks for
1Background & rationaleWhy does this question matter, and why now?
2Literature summaryWhat is known; the gap your study fills
3Aim & hypothesisOne-sentence primary aim; a testable hypothesis
4Study designProspective/retrospective, randomization, blinding, arms
5Population & settingWho, where, over which date range
6Sample size justificationPower analysis with a SOURCED effect size (details below)
7Inclusion / exclusion criteriaNumbered, unambiguous lists
8Methods & data collectionWho collects which variables with which instrument
9Primary & secondary outcomesONE measurable primary outcome
10Statistical analysis planWhich test for which comparison; missing-data strategy
11Ethical considerations & consent processWho obtains consent, when, how; vulnerable groups
12Data protectionCoding/anonymization, retention period, access list (GDPR/local law)
13TimelineA realistic month-by-month plan
14Budget & funding sourceCosts and who covers them; even "no cost" must be stated
15Team & role allocationEach name with a concrete role in THIS study
16ReferencesEverything cited in the text
17AppendicesConsent form, CRF/questionnaire, CVs, site permissions

3. The section that gets files rejected: sample size

✗ "We plan to enrol 100 patients." — That is an intention, not a justification. Why 100? Why not 50?
✓ "X et al. (2024) reported a between-group difference of 4.2 points (pooled SD 8.1; Cohen's d≈0.52). Detecting this effect with 80% power at α=0.05 requires 60 per arm, 120 in total (two-sided independent-samples t-test). Allowing 10% attrition, we target 132."

The good version has four ingredients: an effect size, its source (a citation or your own pilot data — never an invention), power and alpha, and an attrition allowance. If no reliable effect size exists, say so: a descriptive aim with a precision-based (confidence-interval-width) calculation is always more credible than a fabricated Cohen's d.

5. The most common rejection / revision reasons

ReasonPrevention
Unjustified or unsourced sample sizeAll four ingredients from section 3
Consent form written in technical languageHave a non-clinician read it; simplify every sentence they stumble on
Aims and methods don't matchEvery aim needs a matching method and a matching test in the analysis plan
No statistical expertise visible in the teamName who will run the analysis in the role table
Copy-pasted data-protection boilerplateBe concrete: which files, on which encrypted system, for how many years, accessed by whom
Retrospective review without date range / record countState "Jan 2020 – Dec 2024, ~850 records" precisely
Missing conflict-of-interest / funding declarationDeclare "none" explicitly rather than leaving the section out
No permission for a copyrighted scale/questionnaireAttach the licence or the author's permission as an appendix

6. Animal studies: what the board additionally expects

FAQ

Does a case report need board approval?

In most institutions a single case report needs the patient's written consent for publication rather than board approval — and virtually every journal requires that consent. A case series (often 3+, institution-dependent) does trigger board review.

Can I start collecting data while approval is pending?

No — and it cannot be repaired afterwards. Boards do not grant retroactive approval, and journals compare the approval date with the data-collection dates.

Sources and standards

  1. WMA Declaration of Helsinki — ethical principles for medical research involving humans
  2. ICH-GCP — Good Clinical Practice guideline
  3. Institutional IRB/REC guidance documents; national regulator guidance for trials
  4. The 3Rs framework and institutional animal-care (IACUC/AWERB) guidelines
  5. GDPR and national data-protection law provisions on health data

You don't have to write this file from scratch

After stress-testing your research idea against the literature, KONSİL drafts all 17 sections of this file for your study: it builds the power analysis with sourced parameters, explicitly marks every field it cannot honestly fill as "to be completed", routes animal studies to the animal-ethics track, and exports the file to Word.

See the ethics file in the sample report → Apply for the closed beta →
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