Skill UI

A comprehensive preflight guide designed for authors submitting manuscripts to highly specialized academic journals. It covers essential checks beyond standard drafting, including stylistic conformity, mandatory disclosures (Ethics, Data Availability, AI usage), and ensuring the paper's theoretical fit within the journal's specific scope. Essential for maximizing submission success.

This comprehensive guide outlines the mandatory replication and data policy for mathematical finance manuscripts. It provides authors with templates for Data Availability Statements (covering no data, code only, or public data) and details rigorous best practices for ensuring numerical exhibits are fully reproducible. It covers creating exhibit provenance ledgers and managing computational dependencies to maintain academic rigor.

This comprehensive guide details the preflight process for submitting mathematical finance papers through Wiley Research Exchange. It covers scientific readiness, LaTeX best practices, required metadata (JEL/AMS/MSC classifications, data availability), and structural guidelines to ensure the manuscript is fully compliant and submission-ready.

This comprehensive guide outlines the standardized procedures and required repositories for ensuring data and code availability in scientific publications, particularly in molecular biology. It details where to deposit various data types (e.g., sequencing, structures, proteomics) in approved archives (GEO, PDB, PRIDE, Zenodo), provides the mandatory standardized statement format, and emphasizes the need to obtain accessions/DOIs before submission to ensure reproducibility.

A comprehensive skill for assessing whether a neuroscience manuscript meets the exacting standards of a top-tier journal. It guides authors through evaluating the conceptual advance, mandatory multi-level integration (molecular to behavioral), the necessity of causal intervention, and adhering to strict structural and methodological requirements (e.g., STAR Methods, data availability). Ideal for researchers aiming to refine their work before submission.

A comprehensive preflight guide for authors submitting academic manuscripts to journals via platforms like Sage Track. This checklist ensures compliance with mandatory journal requirements, including word count targets, abstract structure, anonymous masking techniques, SAGE Harvard referencing, and critical ethical/data availability statements. Use this before any final upload.

This guide outlines best practices for Nature Geoscience authors, detailing how to separate essential narrative (Main Text) from comprehensive, reproducible documentation (Online Methods). It emphasizes grounding every quantitative claim, quantifying uncertainty, and ensuring full data and code availability to meet high academic standards and pass rigorous peer review.

A comprehensive guide for authors submitting to Nature Geoscience. This checklist covers all necessary pre-submission steps, including verifying word counts, ensuring consistent formatting, completing critical compliance files (data/code availability, reporting summary), and auditing metadata, ensuring your manuscript is fully prepared for editorial review.

A comprehensive guide for authors transitioning an accepted OOPSLA conference paper into a journal article for PACMPL. It details crucial steps including formatting changes, de-anonymization, updating Data-Availability Statements, managing author identities (ORCID), handling ACM open-access rights, and preparing for the associated presentation talk (SPLASH).

This guide provides comprehensive best practices for achieving scientific reproducibility in systems and programming language papers, following stringent SIGPLAN guidelines. It details the necessary rigor for documenting hardware, managing complex runtime measurements (like JIT warmup and variance), and maintaining a detailed, machine-readable provenance ledger and data-availability statement.

A comprehensive guide detailing the strategic and technical requirements for submitting research papers to major conferences like OOPSLA. It covers critical steps such as selecting the correct submission round, adhering to strict formatting rules (e.g., page limits), proactively maintaining double-anonymity, properly filing Data-Availability Statements, and managing complex revision or concurrent submissions to maximize acceptance chances.

A comprehensive guide for researchers in Pervasive Computing on ensuring the verifiable and reproducible nature of sensing data-driven claims. It mandates strict documentation practices covering dataset availability statements, sensing provenance (devices, labeling, preprocessing), cross-subject evaluation (LOSO), and consistency between published results and source data, adhering to ethical guidelines.