Skill UI

This resource guides researchers through the rigorous criteria for publishing in the Journal of Applied Econometrics (JAE). It helps determine if a paper is sufficiently 'applied' (focusing on real data and economic questions) rather than purely theoretical. It outlines the necessity of replicability, the mandatory data archiving process, and the strategic choice between a standard Research Article and a Replication Article.

A comprehensive guide to constructing rigorous empirical datasets for academic papers in finance and banking. It covers best practices for handling complex data sources (e.g., bank micro-data, central bank reports, macro series), addressing measurement biases, and ensuring full replicability, adhering to the standards of top-tier economic journals. Focus areas include merger tracking, regime transitions, and variable definition consistency.

A comprehensive guide detailing the specific review standards and submission requirements for the Journal of Labor Economics (JOLE). This resource covers the single-blind review protocol, the non-refundable submission fee structure, and the expectations of labor-focused referees, emphasizing credible identification, disciplined data work, and replicability.

This comprehensive guide provides a strategic framework for authors responding to a Revise-and-Resubmit (R&R) decision from a top academic journal. It details how to structure the rebuttal letter to satisfy multiple reviewers without alienating the editor, while rigorously maintaining double-blind anonymity, adhering to page budgets, and preserving data replicability for expert analysis.

This skill guides authors on meeting stringent academic requirements for manuscript submission, specifically addressing the mandatory replicability standard set by The Journal of Politics (JOP). Acceptance is strictly contingent on providing a complete, documented, and executable package. The required materials include the dataset(s), master code, codebook, and a comprehensive readme file, ensuring that any published finding can be independently verified and reproduced by a journal analyst. It also provides guidelines for handling restricted data.

This guide meticulously details the rigorous, multi-stage review process of top-tier academic journals, using The Journal of Politics (JOP) as a model. It covers double-blind review, initial desk screening for general interest and fit, expert peer review, and the critical post-acceptance replicability check. It helps scholars understand common failure modes and strategically shape their manuscripts to maximize acceptance chances before submission.

An essential orchestrator for academic manuscripts submitting to specialized journals. This router guides authors through the entire publishing lifecycle—from initial idea generation and literature positioning to final submission and rebuttal. It assesses the article's scope (Research Article vs. Short Article), manages page limitations, and ensures early focus on data replicability, directing users to the precise sub-skill needed at any stage.

A comprehensive guide for executing, evaluating, and reporting the empirical core of MIS Quarterly manuscripts. It covers specialized methods for Behavioral IS (PLS-SEM), Economics of IS (causal identification), Design Science (artifact evaluation), and qualitative studies, ensuring full transparency and replicability for top-tier academic submissions.

A comprehensive guide detailing the methodological standards for conducting high-impact research in Manufacturing and Service Operations Management. It covers both analytical modeling (proofs, sensitivity) and empirical studies (identification, robustness), emphasizing the necessity of full data and code replicability for published findings.

This guide details the process for achieving the Graphics Replicability Stamp (GRSI) or Code Replicability in Computer Graphics (CRCG) recognition for accepted SIGGRAPH/TOG papers. Unlike standard artifact badging, this community effort verifies that a volunteer can successfully run the code and reproduce the paper's key results, covering necessary steps like ensuring determinism, packaging assets, and long-term archiving.

A comprehensive guide detailing the standards for scientific reproducibility in visualization research, particularly for IEEE VIS submissions. It outlines the Graphics Replicability Stamp Initiative (GRSI) requirements, covering how independent volunteers must reproduce results using provided code, data, and environments (e.g., Docker containers). Learn how to package your work—including determinism aids, mapping tables, and licensed data—to pass rigorous, clean-machine testing.