Skill UI

This guide details the mandatory steps for preparing the final, camera-ready version of an ASE conference paper. It covers systematic de-anonymization (restoring real author details, tools, and grants), utilizing the extra content page for incorporating review feedback, finalizing permanent DOI-archived data availability statements, and ensuring strict adherence to mandated dual IEEE/ACM templates and metadata requirements.

A comprehensive audit guide for the final pre-upload stage of major academic conference submissions (e.g., ASPLOS). This tool ensures compliance across critical areas, including strict 11-page limits, mandatory LaTeX templates, correct full-name citation formatting, hyperlinked DOIs, double-blind anonymity, and accurate HotCRP form completion.

This comprehensive guide outlines the critical steps for authors preparing accepted papers for camera-ready publication in the Springer LNCS open-access format. It details the process of de-anonymizing the manuscript, completing essential Springer metadata (ORCID, author order), integrating reviewer feedback, and making all research artifacts permanent using DOIs. Following this checklist is crucial for successful publication.

This master preflight checklist guides authors through every necessary detail before submitting a high-impact manuscript. It covers complex academic requirements, including narrative structure, figures integrity, data transparency (DOIs, accession numbers), required metadata (CRediT, Lead Contact), and high-stakes cover letter strategy, ensuring the work is both scientifically sound and submission-ready.

This guide outlines best practices for packaging research artifacts (prototypes, datasets, instruments, code) for academic review and permanent public release, particularly in HCI venues like CHI. It covers strategies for creating highly reviewable, anonymous submissions (e.g., claims maps, minimal demos) and establishing robust, licensed, permanent archives (e.g., DOIs, OSF), ensuring research reproducibility and auditability.

This guide details the rigorous requirements for achieving research reproducibility in academic publishing. It moves beyond simple data sharing, mandating that authors deposit model-fitting code, analysis scripts, and materials with persistent identifiers (DOI). Key steps include ensuring reported results can regenerate in a fresh session, completing declarations of competing interests, and linking pre-registrations, ensuring compliance with strict journal standards.

This guide details the critical, multi-step process for converting an accepted, anonymous conference manuscript into a publishable, citable journal article for PACMNET. Key tasks include systematic de-anonymization (restoring author details and system names), completing comprehensive journal metadata (ACM CCS, ORCID, licensing), permanent linking of artifacts via DOI, and conducting rigorous production checks to ensure final publication quality.

Provides guidelines for creating robust, verifiable, and reusable Electronic Design Automation (EDA) artifacts for submission to academic conferences like DAC. The focus shifts from chasing conference badges to ensuring community trust and scientific reproducibility. Key elements include pinning the toolchain, using standard benchmarks, providing clear setup instructions, and archiving the release in a DOI-issuing repository.

A comprehensive guide for authors preparing the final, camera-ready manuscript for major academic conferences. It details crucial post-acceptance steps, including systematically de-anonymizing the paper, restoring author affiliations and funding details, correctly implementing ACM copyright forms and DOI stamps, adhering to strict page budgets, and verifying all metadata for proper archival indexing in the ACM Digital Library.

A guide detailing the rigorous standards for data availability and code reproducibility required for academic manuscripts, particularly in demography. It emphasizes depositing data in FAIR-aligned repositories with persistent identifiers (DOI), providing master scripts with full version control, and documenting restricted data access conditions to ensure scientific transparency.

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 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.