This page explains how Maritime Compensation Index handles submissions, moderation, and statistical publication so users can understand the confidence behind public data.
How submissions are collected
Compensation records are collected through the public submission flow and are designed to be anonymous from the start.
Users are asked to share only compensation details and context relevant to the record, not names or personal identifiers.
Anonymous submission process
The submission form is built to avoid collecting personally identifying information while still capturing the fields needed for benchmark analysis.
Anonymous contributions help expand the dataset without linking records back to individual seafarers.
Manual moderation
Submitted records are reviewed manually before publication to confirm privacy, consistency, and suitability for the public dataset.
Moderators can approve or reject a submission and record the decision for audit purposes.
Employer normalization
Employer names are normalized so the same employer is grouped together even when users enter slightly different spellings or punctuation.
Duplicate detection
Duplicate detection helps identify repeated or near-duplicate records so the public benchmarks are not skewed by the same underlying report being submitted more than once.
Privacy protections
Submissions are handled in aggregated form where possible, and public pages avoid exposing personal identifiers or confidential source material.
Moderation metadata is kept internal and is not displayed on public benchmark or explorer pages.
Minimum publication thresholds
Benchmark pages are only published when the minimum sample size threshold is met, helping prevent low-sample pages from revealing too little or producing misleading conclusions.
Currency suppression
If a dataset contains mixed currencies, benchmark statistics may be suppressed or withheld so users are not comparing incompatible values.
Statistical calculations
Public benchmarks are calculated from approved submissions using aggregate statistics such as counts, averages, medians, and percentile ranges where sufficient data exists.
Suppression rules are applied before publication so the displayed figures remain privacy-preserving and reliable.
Company feedback process
Companies can request a review through the company feedback process if they believe a public page needs attention.
Feedback requests trigger a moderation review and do not automatically remove data from the platform.
Related policies
For additional details, see the Terms, Privacy, Disclaimer, Moderation Policy, and Company Feedback pages linked below.