nature-data

Convert Chinese or English notes into Nature-ready Data Availability statements with access-route mapping.

Updated May 11, 2026
One-click install
npx skills add https://github.com/IceYuanyyy/awesome-skills-collection --skill nature-data-iceyuanyyy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nature-data
Source: https://github.com/IceYuanyyy/awesome-skills-collection/tree/main/collections/nature-skills/skills/nature-data
Command: npx skills add https://github.com/IceYuanyyy/awesome-skills-collection --skill nature-data-iceyuanyyy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It helps authors produce transparent, Nature/ Springer Nature–style Data Availability statements by turning Chinese or English notes into submission-ready English while explicitly mapping each supporting dataset to its access route and identifier without fabricating missing details.

Core Features & Use Cases

  • Draft Nature-ready Data Availability text: Generate ready-to-paste statements that follow Springer Nature / Nature Portfolio expectations for data sharing and disclosure.
  • Audit and strengthen weak statements: Check for missing or vague elements (e.g., repositories, accession/DOI, licenses, embargo/access conditions) and flag items the author must confirm.
  • Dataset-to-location mapping + FAIR checks: Classify each dataset into appropriate availability routes (public, controlled-access, supplementary, reused public sources, restricted/not applicable) and perform FAIR/ DataCite-style citation readiness checks.
  • Bilingual-aware conversion for Chinese authors: Convert Chinese intent and terminology (e.g., data availability wording, restricted data handling, repository concepts) into precise Nature-style English, while preserving brief Chinese notes for unresolved decisions when helpful.

Quick Start

Use the nature-data skill to convert your Chinese data-availability notes into a submission-ready English Data Availability statement for a Nature-family journal, including repository/citation actions and missing information flags.

Frequently Asked Questions about nature-data

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

FAQPage Schema
How do I write a Nature-ready Data Availability statement from Chinese notes?

A Data Availability statement for Nature journals requires explicit dataset-to-location mapping, repository identifiers, and access conditions. It classifies datasets into public, controlled-access, supplementary, reused, or restricted routes to meet FAIR metadata standards.

How do I audit a data availability statement for FAIR compliance?

To audit a data availability statement for FAIR compliance, check for vague elements like missing repositories, accession numbers, or licenses. The audit flags missing metadata items and performs DataCite-style citation readiness checks for each dataset.

Can I use this to map datasets to controlled-access repositories?

Yes, you can map datasets to controlled-access repositories. The process classifies each supporting dataset into appropriate availability routes including public, controlled-access, supplementary, reused public sources, or restricted categories.

What is the best way to generate DataCite citations for supporting datasets?

The best way to generate DataCite citations is to convert dataset notes into structured statements with explicit access-route mapping. This applies non-fabrication guardrails to ensure repositories, identifiers, licenses, and embargoes are accurately cited.

What should I do if my dataset has missing licenses or embargo conditions?

If your dataset has missing licenses or embargo conditions, the audit process flags these unresolved items for your confirmation. It preserves brief Chinese notes for missing details rather than fabricating repository or access information.