What problem does it solve? Researchers submitting to Nature-family or Springer Nature journals often struggle to write compliant Data Availability statements, choose appropriate repositories, and meet FAIR metadata requirements, especially when translating Chinese data notes into submission-ready English. ## Core Features & Use Cases - Statement Drafting and Auditing: Generates ready-to-paste Data Availability statements and flags weak wording like "available upon request" that lacks justification or access routes. - Repository and Identifier Planning: Classifies each dataset into an access route (public repository, controlled access, third-party restricted, etc.) and guides DOI, accession, and dataset citation choices. - FAIR Metadata Checks: Audits dataset deposits against FAIR principles and DataCite core fields, including README templates, licences, and provenance. - Use Case: A Chinese-speaking author pastes notes like "数据可向通讯作者索取" and receives a compliant English statement with controlled-access wording, plus a Chinese checklist of fields to confirm. ## Quick Start Ask the assistant to turn your data notes into a Nature-style Data Availability statement with a repository plan and FAIR checklist.