Skill UI

This guide assists researchers in assembling a comprehensive, reproducible data and code supplement for submissions to statistical journals, adhering to the American Statistical Association (ASA) data-sharing policies. It outlines the required structure (README, code, data), provenance tracking, environment pinning, and necessary steps (like setting random seeds and drafting data availability statements) to ensure that published results can be fully regenerated and verified by reviewers.

A comprehensive guide for authors submitting to the Journal of Corporate Finance (JCF). It details how to comply with Elsevier's Option C data availability requirements, focusing on drafting the data availability statement and structuring the research archive. It provides best practices for handling licensed, proprietary data (e.g., Compustat, CRSP) by recommending the sharing of construction code and access instructions, rather than raw data deposits.

A comprehensive guide for structuring responses to highly selective academic journal reviews, specifically for The Journal of Finance (JF) revise-and-resubmit manuscripts. It details how to prioritize the editor's central concerns over individual referee points, manage the revision process, utilize the Internet Appendix, and adhere to strict journal formatting and code-sharing guidelines.

This guide provides a comprehensive pre-flight checklist for submitting research to The Journal of Finance (JF) via the AFA online portal. It covers specific requirements such as the 60-page limit, bundling the Internet Appendix, handling tiered submission fees, and mandatory code sharing/disclosure statements, ensuring authors submit a complete and compliant manuscript.

This comprehensive guide serves as a preflight checklist for authors submitting manuscripts to the Journal of Financial and Quantitative Analysis (JFQA). It details stringent requirements, including double-anonymous formatting, specific layout standards (8.5x11, 12pt Times New Roman, double-spaced), the 100-word abstract limit, and mandatory disclosure rules regarding prior rejections and code-sharing. Use this checklist before submitting via Editorial Manager to ensure compliance and avoid desk rejection.

This guide provides authors with best practices for improving the reproducibility and verifiable availability of communication experiments for submission to JOC. It clarifies the journal's current status regarding artifact badges, offering actionable advice on openly sharing code, data, and simulation parameters to enhance credibility while maintaining academic rigor.

A comprehensive guide detailing how to make systematic reviews and meta-analyses fully auditable and reproducible for academic publishing. It emphasizes adhering to standards like PRISMA and MARS, quantifying inter-coder reliability (e.g., Kappa/ICC), and sharing all open materials, including search strings, coding datasets, and analysis code (via OSF/DOI).

A comprehensive guide to ensure scientific manuscripts meet the highest standards of reproducibility. It mandates documenting the deposition of all necessary data (e.g., GenBank, PDB, GEO), archiving custom analysis code with DOIs (e.g., Zenodo), and detailing sharing plans for unique reagents and materials. Crucial for primary data underlying research conclusions.

A comprehensive guide for preparing the data, code, and materials transparency posture when submitting a manuscript to Social Psychology Quarterly (SPQ). It clarifies the journal's guidelines (encouraged, not required) regarding data sharing, covering both quantitative and qualitative research methods while strictly adhering to ethical considerations and ASA norms.