Skills Data Science Structured Research Protocol Design

Structured Research Protocol Design

v20260618
research-protocol
This skill generates detailed, structured research protocols for various academic, clinical, or market research studies. It ensures all critical components—such as objectives, study design, participant criteria, methodology, data management, statistical analysis plan, and ethical considerations—are comprehensively documented, providing a robust framework for any scientific investigation.
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Overview

Research Protocol Skill

Produces structured research protocols for academic, clinical, social science, or market research studies.

Required Inputs

  • Research type (clinical trial / observational / qualitative / systematic review / survey)
  • Research question or hypothesis
  • Setting and population
  • Proposed methodology
  • Timeline
  • Funder or institution (if applicable)

Output Structure


Research Protocol: [Study Title]

Version: 1.0 | Date: [Date] | PI: [Name, institution]


1. Background and Rationale

  • What is already known
  • What the gap in knowledge is
  • Why this study is needed now

2. Research Objectives

Primary: [One clear answerable question or hypothesis] Secondary: [Additional questions]

3. Study Design

  • Design: [RCT / cohort / qualitative / mixed methods]
  • Setting: [Where]
  • Duration: [Total period and recruitment window]
  • Rationale: [Why this design fits the question]

4. Participants

Inclusion criteria: [List] Exclusion criteria: [List] Sample size: [n] — Basis: [Power calculation or saturation rationale] Recruitment: [Method and source]

5. Methodology / Intervention

For interventional: intervention description, control, randomisation, blinding For observational/qualitative: data collection methods, tools, data collectors

6. Outcomes / Measures

Primary outcome: [Measure], assessed by [method], at [timepoint] Secondary outcomes: [Measure], [method], [timepoint]

7. Data Management

  • Storage: [Where and anonymisation method]
  • Access controls: [Who can access]
  • Retention: [How long]

8. Analysis Plan

Quantitative: [Statistical test], [missing data handling], [software] Qualitative: [Framework — e.g. Braun & Clarke], [quality assurance]

9. Ethical Considerations

  • Ethics approval: [Body / reference]
  • Informed consent: [Process]
  • Confidentiality: [How maintained]
  • Risk to participants: [Assessment and mitigation]

10. Dissemination Plan

  • Target journals: [2-3 relevant]
  • Conference presentations
  • Public/patient summary

11. Timeline

Phase Activities Start End
Setup Ethics, approvals, tool development
Recruitment
Data collection
Analysis
Write-up

Quality Checks

  • Primary objective is singular and answerable (not compound)
  • Sample size has a stated basis (power calculation or saturation rationale)
  • Ethical considerations section is complete
  • Analysis plan is pre-specified (not "to be determined")
  • Timeline includes all phases from ethics approval to write-up

Anti-Patterns

  • Do not write an analysis plan as "to be determined" — the analysis approach must be pre-specified before data collection
  • Do not skip the ethical considerations section — all research involving human participants requires ethical review
  • Do not define research questions so broadly that the study cannot answer them within scope and budget
  • Do not conflate the research question with the hypothesis — state them separately and clearly
  • Do not omit sample size justification — an underpowered study wastes resources and produces inconclusive results

Example Trigger Phrases

  • "Write a research protocol for [study]"
  • "Help me design a study to investigate [question]"
  • "Write the methodology for my research proposal"
Info
Category Data Science
Name research-protocol
Version v20260618
Size 3.7KB
Updated At 2026-06-19
Language