Skill UI

This guide outlines the standardized requirements for declaring data and code availability in major scientific publications. It details mandatory best practices, including depositing raw data (e.g., sequencing, structures) and analysis code into approved, citable public repositories (such as GEO, PDB, Mendeley Data, and Zenodo). It also provides the required standardized three-bullet statement format for ensuring reproducibility.

Provides stringent guidelines for formatting tables and figures in high-level economics and finance manuscripts. Covers mandatory three-line table styles, column count limits, rigorous variable definition requirements (including naming specific databases), data source transparency, and professional figure generation techniques (e.g., 300 dpi, proper event study plots).

This tool provides a comprehensive guide to the manuscript review process for Demography journal. It details the double-blind review structure, the mandatory pre-review desk screening (by Editor/Deputy Editor), and the common grounds for desk rejection. By stress-testing your paper against these academic standards, authors can significantly improve their work, ensuring methodological rigor and general interest before submission.

A comprehensive guide for researchers in Developmental Psychology on meeting rigorous Open Science standards. It details best practices for data and materials sharing using Persistent Identifiers (DOIs), mandatory preregistration of hypotheses, sample-size justification, and adhering to ethical requirements when working with minors and vulnerable populations. It ensures compliance and reproducibility in modern scientific reporting.

This skill provides a comprehensive framework for authors aiming to submit to the prestigious journal 'E-Government.' It guides users on assessing manuscript fit, aligning research with the journal's focus on digital governance, data element, public value, and administrative reform. It covers scope definition, required methodology, structural adjustments, and mandatory formatting checks.

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 comprehensive guidelines for creating professional, compliant, and scientifically rigorous figures, tables, and the mandatory Table of Contents (TOC) graphic for scientific manuscripts. It emphasizes self-contained data presentation, showing uncertainty, accessibility, and optimizing content placement between the main article and supporting information.

A detailed guide for creating scientifically rigorous, self-contained figures and tables (exhibits) for agricultural manuscripts. It covers best practices for reporting quantitative data, including mandatory elements like error terms (SED/LSD), proper plot selection (e.g., AMMI/GGE biplots, response curves), and ensuring accessibility and reproducibility for agronomy reviewers.

This guide outlines the mandatory open data and code requirements for publishing in Global Change Biology (GCB). It details that primary and secondary data, along with supporting code/software, must be archived in public, DOI-minting repositories (e.g., Dryad, Zenodo) prior to acceptance. It emphasizes that 'available on request' is not accepted and provides a structured checklist for ensuring reproducibility and proper metadata submission.

This guide assists authors planning to submit to Games and Economic Behavior (GEB) by detailing best practices for data and code sharing. It clarifies that while data deposition is strongly encouraged for reproducibility, it is not a mandatory requirement. It outlines what to prepare, including raw data, analysis scripts, experimental instructions, and proper availability statements.

This guide instructs authors on creating mandatory Data Availability Statements and building comprehensive replication materials for academic manuscripts. It covers best practices for data provenance, code management, and handling restricted data, ensuring research integrity and reproducibility.

A comprehensive audit guide for submitting papers to ICASSP conferences. This checklist covers crucial requirements such as the mandatory 4+1 page format, single-blind review rules (including author list inclusion), CMS portal submission protocols, EDICS metadata selection, and compliance with ethical standards. Use this guide before the deadline to avoid desk rejects.