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Implement reproducible research practices throughout project lifecycle. Preregistration: 1. Register study protocol before data collection (OSF, ClinicalTrials.gov). 2. Include hypotheses, methods, analysis plan, sample size justification. 3. Distinguish confirmatory from exploratory analyses. Reproducible workflow: 1. Version control: Git/GitHub for code and document management. 2. Literate programming: R Markdown, Jupyter notebooks combining code and narrative. 3. Environment management: Docker containers, package version recording. 4. Automated reporting: dynamic documents that update with new data. Open data and materials: 1. Data repositories: disciplinary (e.g., ICPSR) or general (OSF, Zenodo). 2. Code sharing: GitHub with clear documentation and README files. 3. Materials sharing: survey instruments, interview guides, stimuli. Transparency reporting: 1. CONSORT for RCTs, STROBE for observational studies. 2. Report all measures, manipulations, exclusions. Publication: preprints for rapid dissemination, open access journals when possible.
A proven free prompt for Research reproducibility and open science is: "Implement reproducible research practices throughout project lifecycle. Preregistration: 1. Register study protocol before data collection (OSF, ClinicalTrials.gov). 2. Include hypotheses, methods, an..." — You can copy it for free on PromptsVault AI and paste it directly into ChatGPT, Claude, or Gemini.
Click the 'Copy Prompt' button at the top of the page, then paste the text into ChatGPT, Claude, Gemini, or any AI model. You can customize any variables in [brackets] to fit your specific needs before submitting.
Yes — this RESEARCH AI prompt is 100% free on PromptsVault AI. No sign-up or payment required. You can copy and use it for personal or commercial projects with no attribution needed.
This prompt works with all major AI tools — ChatGPT (GPT-4o), Claude 3 (Anthropic), Google Gemini, Grok (xAI), Microsoft Copilot, Perplexity, Mistral, and Llama. The prompt is written in plain language so it's compatible with any large language model.