Skill UI

A comprehensive guide for environmental science manuscripts, detailing the standards required for data reporting and ensuring research reproducibility. It instructs authors on assembling Supporting Information (SI), writing data-availability statements, and depositing raw data, code, and protocols into recognized public repositories (e.g., Zenodo, GenBank).

This package guides researchers on assembling a comprehensive deposit to meet the high standards of Experimental Economics (ESA) journals. It is crucial for academic submissions, ensuring that the materials—including participant instructions, experiment software, raw data, and master analysis code—are complete enough for others to both reproduce the statistical findings and replicate the entire economic experiment.

This guide outlines the rigorous methodological standards for empirical work in AI fairness, accountability, and transparency (FAccT). It advises researchers on matching specific claims (e.g., disparate harm) to appropriate evidence types—including disaggregated metrics, coded qualitative data, and documented ethical procedures. It stresses the importance of ethical review, handling protected attributes, and acknowledging limitations to ensure high scientific and ethical rigor.

This skill guides authors in determining the suitability of their manuscripts for the journal Genome Biology. It details the journal's scope, which requires integrating large-scale genomic or epigenomic data with novel computational methods or statistical frameworks. It emphasizes that successful submissions must provide both methodological advances and meaningful biological insights, adhering strictly to standards like open-source code, public data deposition (GEO, SRA, ENCODE), and rigorous benchmarking.

This comprehensive guide outlines the process for packaging artifacts from Human-Robot Interaction (HRI) research. Recognizing that HRI artifacts are complex, involving human subjects, robot behaviors, and extensive study materials, this skill provides guidelines for honest, ethical, and reproducible dissemination. It covers structuring de-identified data, analysis code, and behavioral specifications while adhering to participant consent and academic archiving standards.

This guide helps authors structure lengthy academic manuscripts, ensuring the main text maintains a clear, focused narrative while relegating supportive, detailed evidence to the appendices or supplementary materials. It outlines the 'determinative' principle, advising where to place hyperparameters, extended experiments, proof details, and code links to meet high journal standards and maximize readability for reviewers.

This guide outlines the rigorous standards for achieving robust reproducibility in robotics research papers, especially those involving physical hardware. It details a two-tier approach, defining results as either fully *rerunnable* (code/simulation) or fully *auditable* (hardware logs/protocols). Key requirements include creating comprehensive hardware specification ledgers, logging detailed sensor data (rosbags), separating deterministic from stochastic claims, and structuring the entire repository for peer review.

This comprehensive guide helps authors determine the suitability and strategic framing for submitting manuscripts to the IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER). It covers core scope alignment (reverse engineering, reengineering, code intelligence), required evidence standards (practical tools, benchmarks), and provides crucial guidelines for positioning the work relative to other top-tier CS venues.

A comprehensive preflight checklist for authors submitting to the INFORMS Journal on Computing (IJOC) via ScholarOne. This guide details critical academic publishing standards, including the 25-page limit, single-blind review rules, required LaTeX formatting, and the mandatory structure for the GitHub code/data reproducibility deposit. Use this when performing the final checks before submission.

This guide provides detailed standards for structuring and writing manuscripts submitted to the INFORMS Journal on Computing (IJOC). It mandates a precise, methods-forward, and quantitative voice, ensuring the paper is accessible to both Operations Research (OR) and Computer Science (CS) audiences. Key elements covered include abstract structure (≤300 words, no formulas), rapid contribution framing in the introduction, and using numbered pseudocode for methods.

A comprehensive guide for researchers on preparing, archiving, and declaring the availability of research artifacts (datasets, code, and platforms) for academic publication. It details best practices for provenance tracking, ensuring reproducibility, and meeting the standards required for community contribution awards.

This comprehensive guide outlines the rigorous, mandatory steps required to transform an accepted academic draft into a final, camera-ready version for conference proceedings. It covers critical areas like complete de-anonymization, permanent archiving of datasets and code using DOIs, finalizing ethical statements (IRB), satisfying artifact availability requirements, and adhering to strict ACM publication standards. This process ensures the research output is publicly usable, traceable, and robust.