Skill UI

This guide details the strict data and transparency policy required by the American Political Science Review (APSR). It outlines how to build a comprehensive reproducibility package—including raw data, master scripts, and detailed documentation—to allow the journal to verify that all reported tables and figures can be regenerated before publication. It covers quantitative methods, qualitative evidence sharing, and necessary exemption procedures.

A comprehensive guide to adhering to ASA/ASR data-sharing and transparency standards for social science research. It helps users prepare thorough documentation, define data provenance (codebooks, scripts), manage confidentiality constraints (IRB, proprietary data), and ethically prepare materials for academic publication. Use this when structuring a manuscript's data section or anticipating reviewer questions about data verification.

A comprehensive guide detailing the selection of appropriate statistical estimators (e.g., DiD, Panel FE, ANOVA) for various research designs. It also outlines rigorous best practices for ensuring data integrity, conducting robustness checks, and adhering to journal code-sharing policies, ensuring highly reproducible empirical research.

This guide assists researchers in compiling and documenting all necessary ethical approvals, biosafety statements, and data/code availability declarations required for high-impact scientific manuscripts (e.g., Cancer Cell). It ensures compliance with guidelines covering animal protocols (IACUC), human subject ethics (IRB/Consent), and data sharing standards (GEO, Zenodo).

A comprehensive guide for researchers detailing how to strengthen the reproducibility of security claims for top conferences like CCS. It covers mapping every security claim (attacks, defenses, measurements) to verifiable evidence, managing artifact availability when sharing is restricted, and defining the achievable degree of reproduction (Turnkey, Scripted, Descriptive). This ensures academic rigor and transparency in published security work.

This guide details the rigorous requirements for achieving research reproducibility in academic publishing. It moves beyond simple data sharing, mandating that authors deposit model-fitting code, analysis scripts, and materials with persistent identifiers (DOI). Key steps include ensuring reported results can regenerate in a fresh session, completing declarations of competing interests, and linking pre-registrations, ensuring compliance with strict journal standards.

Provides comprehensive guidelines for researchers packaging and releasing artifacts (data, code, instruments) derived from real communities in CSCW research. It emphasizes ethical constraints, de-identification techniques (such as quote search and join attacks), and best practices for protecting studied communities' privacy, ensuring responsible sharing.

This comprehensive skill guides researchers through the critical ethical framework for anthropological and social science manuscripts. It emphasizes 'do no harm,' continuous informed consent, community accountability, and proper handling of sensitive data, cultural heritage, and human remains. It ensures that all data sharing and knowledge reuse plans prioritize the rights, privacy, and well-being of interlocutors above academic publication needs.

A comprehensive guide for researchers in Developmental Psychology on meeting rigorous Open Science standards. It details best practices for data and materials sharing using Persistent Identifiers (DOIs), mandatory preregistration of hypotheses, sample-size justification, and adhering to ethical requirements when working with minors and vulnerable populations. It ensures compliance and reproducibility in modern scientific reporting.

This guide assists authors planning to submit to Games and Economic Behavior (GEB) by detailing best practices for data and code sharing. It clarifies that while data deposition is strongly encouraged for reproducibility, it is not a mandatory requirement. It outlines what to prepare, including raw data, analysis scripts, experimental instructions, and proper availability statements.

A comprehensive guide for academic authors detailing mandatory compliance requirements for high-impact publications. This checklist covers essential elements such as prospective clinical trial registration, IRB/ethics approval statements, obtaining informed consent, adhering to ICMJE authorship criteria, disclosing conflicts of interest, and providing detailed data-sharing plans. Use this when preparing a manuscript for submission to major medical journals.

This comprehensive guide serves as a critical preflight checklist for authors submitting manuscripts to high-impact journals like JAMA. It meticulously verifies completeness across multiple dimensions, including adhering to specific word/format limits, confirming required ethical statements (IRB, COI, data sharing), and ensuring all supplementary files (e.g., CONSORT/PRISMA checklists, flow diagrams) are correctly uploaded. It is designed as a final quality gate to prevent common submission errors.