# Source Basis Use this file when a user asks why a rule exists, wants primary-source justification, or needs to audit the `nature-data` skill against real policy sources. ## Source map | Skill rule | Primary support | |---|---| | Original research needs a Data Availability statement. | Springer Nature research data policy says original articles must include a data availability statement and that it should describe available data, location, and access terms. | | The statement must cover original and reused data, including data that cannot be public. | Springer Nature policy applies to datasets needed to interpret and replicate conclusions and explicitly includes original/reused data and non-publicly shareable data. | | Supporting data should be public where possible, with mandatory community repositories for some data types. | Springer Nature policy strongly encourages public availability for datasets supporting analysis and conclusions and mandates sharing for community-endorsed data types. | | Reviewers may need access to underlying data and code. | Springer Nature policy states peer reviewers are entitled to request access to underlying data and code when needed for evaluation. | | Nature-style statements must expose the minimum dataset needed to interpret, verify, and extend the work. | Nature Portfolio reporting standards describe transparent access conditions for the minimum dataset needed to interpret, verify, and extend research. | | Materials, data, code, and protocols should be available without undue qualifications, and restrictions must be disclosed. | Nature Portfolio reporting standards state availability is a publication condition and restrictions must be disclosed at submission and in the manuscript. | | Repositories are preferred over large supplementary files. | Nature Portfolio reporting standards discourage large datasets in supplementary information and prefer repositories; Scientific Data also strongly encourages repository deposition, especially for primary data. | | Repository choice should prefer discipline-specific, community-recognised repositories, with generalist or institutional repositories as fallback. | Springer Nature repository guidance recommends discipline-specific community repositories where possible, otherwise generalist or institutional repositories. | | Sensitive data should use safe sharing, controlled access, metadata records, or trusted environments where appropriate. | Springer Nature sensitive data guidance recommends repository use where possible, controlled-access repositories, trusted research environments, and metadata records for non-public data. | | Human, non-human sensitive, proprietary, and third-party data need explicit rights and access logic. | Springer Nature sensitive data guidance lists identifiable human data, other sensitive data, and proprietary/third-party data as categories requiring special handling. | | Rawness and reusability should follow community norms. | Scientific Data policy says data should be provided at a level of rawness allowing reuse in line with accepted community norms. | | FAIR checks should include findability, accessibility, interoperability, and reusability for humans and machines. | Wilkinson et al. formally describe the FAIR principles and emphasize findable, accessible, interoperable, reusable digital objects for people and machines. | | Dataset citation metadata should include persistent identifiers and core descriptive fields. | DataCite Metadata Schema defines core metadata properties for accurate and consistent identification, citation, and retrieval of resources. | ## Official sources - Springer Nature, Research data policy: - Springer Nature, Data availability statements: - Springer Nature, Data repository guidance: - Springer Nature, Sensitive data: - Nature Portfolio, Reporting standards and availability of data, materials, code and protocols: - Example Nature Portfolio journal reporting standards page: - Nature Research, Data availability statements and data citations policy FAQ: - Scientific Data, Data policies: - Wilkinson et al. 2016, The FAIR Guiding Principles for scientific data management and stewardship: - DataCite Metadata Schema: ## Notes for future updates - Check target journal instructions first because Nature Portfolio journals can add field-specific requirements. - Check DataCite's latest schema before naming version-specific fields. As of 2026-05-01, the DataCite schema landing page lists Metadata Schema 4.7 as the latest release. - Keep this file as a source map, not a long policy mirror. Link to official pages rather than copying full policy text.