nature-data

Draft and audit Nature-style Data Availability statements, repository plans, and FAIR metadata checklists.

2|Updated Jun 18, 2026
One-click install
npx skills add https://github.com/AlexenderSokolov/deepscientist-lite-codex-plugin --skill nature-data-alexendersokolov
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: nature-data
Source: https://github.com/AlexenderSokolov/deepscientist-lite-codex-plugin/tree/main/plugins/deepscientist-lite-academic/skills/nature-data
Command: npx skills add https://github.com/AlexenderSokolov/deepscientist-lite-codex-plugin --skill nature-data-alexendersokolov

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Manuscripts submitted to Nature-family journals require a Data Availability statement that maps every supporting dataset to a repository, accession, DOI, or justified access restriction. Authors often write vague statements like "data available upon request" or miss accessions, licences, and FAIR metadata, which blocks submission or triggers reviewer objections. ## Core Features & Use Cases - Statement drafting and audit: Produce ready-to-paste English Data Availability statements, or audit an existing one and flag blocking issues such as missing accessions, repositories, or licences. - Access-route classification: Classify each dataset as public repository, controlled access, within paper/supplement, reused public, third-party restricted, justified request, or not applicable, with conservative wording for sensitive or commercial data. - FAIR and DataCite metadata check: Run a findability, accessibility, interoperability, and reusability audit plus a dataset-to-figure mapping table and missing-information checklist. - Chinese-to-English alignment: Convert Chinese author notes such as "可向通讯作者索取" into Nature-ready English with a 中文核对 confirmation block. - Use Case: A Chinese-speaking author preparing a Nature Portfolio submission provides dataset notes; the skill returns a compliant English statement, repository action list, and a short list of fields the author must confirm. ## Quick Start Ask the assistant to write a Nature-style Data Availability statement for your manuscript, listing each dataset's repository, accession, DOI, and any access restrictions.

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 Data Availability statement for a Nature journal?▼

Inventory every dataset supporting your figures and conclusions, classify each into an access route such as public repository or controlled access, then draft the statement with explicit dataset-to-location mapping. Include repository names, accessions or DOIs, and licences, and add formal dataset citations for reused public data.

How do I write a data availability statement for restricted or sensitive data?▼

State why open sharing is impossible, name the access committee or institutional route, and describe eligibility, ethics approvals, or data-use agreements. Provide a public metadata record or representative data where possible instead of writing only "available upon request".

Is "data available upon request" acceptable for Nature submissions?▼

It is treated as weak unless justified by a specific legal, ethical, commercial, or third-party restriction. The statement must name the responsible access body, eligible requesters, review conditions, and any public metadata to be durable and acceptable.

Which repository should I choose for my research data?▼

Use a mandated repository when the data type requires one, otherwise a discipline-specific community repository, and fall back to a generalist or institutional repository with DOI support. Avoid personal websites or temporary cloud links as the only access route.

What does a FAIR metadata check for a dataset include?▼

It verifies the dataset has a persistent identifier, rich searchable metadata, standard formats, a licence, provenance, and a README documenting variables, units, and processing steps. DataCite core fields such as creator, title, publisher, year, and resource type are also checked.

Can this skill invent accession numbers or DOIs for my data?▼

No. It never fabricates accessions, DOIs, licences, repository records, or access restrictions. When information is missing, it returns a usable draft plus a short confirmation checklist of fields the author must supply.