CITATION.cff

cff-version: 1.2.0
message: "If you use this methodology, please cite it as below."
title: "DIVE-PL: A reproducible AI tool-chain methodology for building survey research studies"
abstract: "An end-to-end, reproducible framework that integrates an LLM design/orchestration agent, an independent LLM reviewer (LLM-as-judge), REDCap electronic data capture, and AI-built analytics dashboards, wrapped in an open-science layer (Zenodo, OSF, GitHub Pages). Demonstrated on a cross-sectional online survey of recreational divers in Poland."
type: software
authors:
  - family-names: Minarowski
    given-names: Łukasz
    affiliation: "Medical University of Białystok, Department of Respiratory Physiopathology"
    orcid: "https://orcid.org/0000-0002-2536-3508"
  - family-names: Matuk
    given-names: Jakub
    affiliation: "Medical University of Białystok, Department of Respiratory Physiopathology"
    orcid: "https://orcid.org/0009-0002-8986-8609"
  - family-names: Lech
    given-names: Maksymilian
    affiliation: "Medical University of Białystok, Department of Respiratory Physiopathology"
repository-code: "https://github.com/kicrazom/DIVE-PL"
doi: "10.5281/zenodo.20977890"
keywords:
  - survey methodology
  - large language models
  - LLM-as-a-judge
  - REDCap
  - open science
  - reproducible research
  - digital sovereignty
identifiers:
  - type: doi
    value: "10.5281/zenodo.20977890"
    description: "Zenodo archived release v0.1.0"
  - type: other
    value: "APK.002.228.2026"
    description: "Case-study protocol / ethics approval ID (Bioethics Committee, Medical University of Białystok)"
license:
  - MIT
  - CC-BY-4.0
license-url: "https://github.com/kicrazom/DIVE-PL/blob/main/LICENSING.md"
version: 0.1.0
date-released: "2026-06-27"