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Abhinavbwj
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open-science-reproducibility

Guides FAIR data sharing, DMPs, and computational reproducibility for AEC research.

19|1|Updated Jun 15, 2026
Search Tags:#reproducibility#zenodo#preregistration#open science#fair data#data management plan#availability statement
One-click install
npx skills add https://github.com/Abhinavbwj/AEC-Scholar --skill open-science-reproducibility-abhinavbwj
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: open-science-reproducibility
Source: https://github.com/Abhinavbwj/AEC-Scholar/tree/main/aec-scholar/skills/open-science-reproducibility
Command: npx skills add https://github.com/Abhinavbwj/AEC-Scholar --skill open-science-reproducibility-abhinavbwj

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Researchers in architecture, engineering, and construction often struggle to meet funder and journal requirements for open science: writing data management plans, depositing data with DOIs, making simulation-based studies reproducible, and drafting data/code availability statements. ## Core Features & Use Cases - FAIR Data & Repositories: Apply FAIR principles and choose DOI-issuing repositories such as Zenodo, Figshare, Dryad, OSF, or Dataverse. - DMPs & Reproducible Code: Draft data management plans (DMPonline/DMPTool/Argos) and set up version control, environment capture (conda, renv, Docker, Binder), and literate analysis with Quarto or Jupyter. - AEC-Specific Reproducibility: Share simulation inputs (EnergyPlus IDF/EPW, OpenSees, Grasshopper), document calibration and uncertainty, and handle preprints, preregistration, registered reports, and availability statements. - Use Case: Before submitting a building energy simulation paper, use this Skill to archive the code release on Zenodo with a DOI, pin library versions, and write a compliant data and code availability statement. ## Quick Start Help me write a data management plan and a data and code availability statement for my EnergyPlus simulation study, and tell me how to archive the code with a DOI on Zenodo.

Frequently Asked Questions about open-science-reproducibility

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write a data management plan for a research grant?▼

A data management plan covers what data you collect, formats and volume, metadata standards, storage and backup, legal and ethical constraints like GDPR and consent, sharing plans with licenses, long-term preservation, and responsibilities. Tools like DMPonline, DMPTool, and Argos provide funder-specific templates.

What repository should I use to share research data with a DOI?▼

General repositories like Zenodo, Figshare, Dryad, OSF, and Harvard Dataverse all issue DOIs and support versioning and licenses. Zenodo integrates directly with GitHub for archiving code releases. Choose one that supports your license and avoid sharing data only as available on request.

How do I make a computational study reproducible?▼

Use Git version control and tag the exact release used for the paper, capture the environment with requirements.txt, environment.yml, renv, or a Docker container, and use literate analysis tools like Jupyter or Quarto so figures regenerate from data. Archive a code release with a DOI via the Zenodo-GitHub integration.

Can FAIR data still be access-controlled or confidential?▼

Yes, FAIR does not mean open. Sensitive data such as site, personal, or commercial data can be findable, interoperable, and well-documented while remaining access-controlled. State the access conditions clearly in your metadata and availability statement.

How do I share EnergyPlus or simulation models for reproducibility?▼

Share model input files such as EnergyPlus IDF and EPW weather files, OpenSees or FEM inputs, and Grasshopper definitions where IP permits. Document all assumptions, boundary conditions, solver settings, and report calibration against measured data plus uncertainty and sensitivity analysis.

What should a data and code availability statement include?▼

State explicitly where data and code are deposited, including the repository name, DOI, and license, for example a Zenodo DOI under CC BY. If data are restricted by confidentiality agreements, say so honestly and describe what aggregated data are available on request.

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