Skill UI

This skill guides authors on submitting original, high-quality, and reusable Earth System datasets (observations, reanalysis, model outputs) as primary publications. It assesses whether the work fits the criteria of a 'data paper,' requiring open deposition in a FAIR repository with a persistent DOI, detailed provenance documentation, and rigorous quality control. It serves as a venue-selection and manuscript re-framing tool.

This guide details the requirements for creating a comprehensive replication package for manuscripts submitted to Econometric Society journals. It ensures full reproducibility of all results, including code, data provenance, and parameter settings, adhering to the journal's Data and Code Availability Policy. Key components include a master script, reproducible data, and detailed documentation.

This guide outlines the mandatory structure for creating a reproducible research package, required by academic journals like the European Economic Review (EER). It details how to properly assemble raw data, master analysis scripts, environmental specifications, and comprehensive documentation (README) to ensure that reported results can be independently verified by others. It is essential for any paper involving empirical analysis or simulations.

This guide provides expert knowledge on the history, etymology, and correct modern usage of the em dash (—). It covers various punctuation marks—including commas, semicolons, and colons—and offers specific guidelines on when to use them in professional writing, technical documentation, and code comments. It emphasizes adapting punctuation rules for different media types.

A comprehensive guide for structuring academic empirical research projects to ensure the full reproducibility of findings. This methodology covers standard folder layouts, master scripting, data provenance documentation, and best practices required for passing rigorous peer review scrutiny, thereby preventing data loss and calculation errors during revisions.

This comprehensive guide provides rigorous standards for formatting tables and figures for high-impact academic journals (e.g., Economic Research). It covers best practices including three-line table styles, variable definition structures, data source documentation, and figure aesthetics (DPI, color). Essential for ensuring submitted manuscripts meet professional publishing quality.

A comprehensive guide to preparing accountability artifacts for AI research papers, particularly for venues like FAccT. It covers the necessary documentation genres—including datasheets for datasets, model cards for models, and impact assessments—to ensure transparency, verifiability, and accountability regarding claims of fairness and harm mitigation in AI systems. The focus is on making research outputs rigorously traceable and ethically responsible.

This comprehensive guide outlines the critical steps required for authors preparing an accepted paper for ACM FAccT proceedings. It details the transition from anonymous drafts to the final, published 'camera-ready' format, covering mandatory de-anonymization (restoring author details and adding Positionality statements), switching to the specific ACM metadata standards (ORCID, CCS concepts), completing required documentation (datasheets/model cards), and adhering to complex publication timelines and rights requirements.

A comprehensive guide for establishing academic rigor in AI and data science research. It outlines best practices for achieving reproducibility, emphasizing the mandatory release and documentation of raw data, trained models, and qualitative findings. Key tools include datasheets, model cards, and detailed provenance logging, ensuring that research claims are fully auditable and consistent.

A comprehensive guide for authors preparing submissions for ICDE conferences. It details how to properly segment content into the main 12-page body versus the supplementary material, ensuring the core argument remains self-contained while providing reviewers with runnable artifacts, extended experiments, and full technical documentation.

This guide details the rigorous process of preparing research artifacts for formal evaluation at major academic conferences like ICSE. It covers achieving ACM badges (Available, Reusable, Reproduced/Replicated) by ensuring proper DOI archiving, open licensing, robust documentation, and verifiable reproducibility for external reviewers, transforming raw research into publishable, trustworthy assets.

This guide provides a strategic framework for authors responding to rigorous peer reviews in high-stakes academic venues. It details how to manage both short-term rebuttals and full revision submissions, covering objection triage (misreading, evidence gaps, adaptive attacks), precise scope definitions, and the formal documentation required for ethics and methodology. Learn to structure your response to maximize acceptance probability.