Skill UI

Guides authors on meeting the rigorous transparency standards required by the European Sociological Review (ESR). It details how to prepare a Data Availability Statement (DAS) and a replication package for statistical and computational manuscripts. The guide covers everything from documenting data sources and versions to handling restricted administrative data, ensuring that the research process is fully reproducible and traceable.

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 guide helps researchers translate academic findings into rigorous, evidence-grounded implications for policy, governance, and practice concerning global environmental change. It stresses that implications must be specific (naming actors and levers), honest about scope and uncertainty, and directly traceable to the study's results, avoiding generic overstatements.

A comprehensive guide for authors targeting the IEEE International Requirements Engineering Conference (RE). This skill helps assess if a computer science manuscript is a strong fit for the venue, focusing on requirements elicitation, modeling, traceability, and stakeholder-centered validation. It provides guidance on re-framing submissions and structuring evidence for academic conference acceptance.

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.

Provides a comprehensive guide for packaging complex research artifacts, integrating hardware, firmware, and datasets. It outlines best practices for achieving academic badges (e.g., Available, Functional, Reusable) and winning the Best Research Artifact Award. Learn how to structure analysis paths, manage raw traces, and ensure reproducibility across different evaluation environments.

A comprehensive guideline for establishing and documenting the reproducibility of complex sensor-systems artifacts. It covers necessary components such as firmware sources, detailed hardware Bills of Materials (BOMs) and board files, raw sensor traces, ground truth data, and calibrated measurements. Use this guide to ensure that scientific claims can be verified by a competent reader, detailing the exact dependencies on physical equipment and software toolchains.

Organizes declared scope, controlled documents, risk files, traceability, and readiness evidence for ISO 13485, ISO 14971, ISO/IEC 17025, and ISO 15189 human review, with deterministic local checks and separate certification, accreditation, FDA QMSR, and EU MDR/IVDR evidence boundaries.

Comprehensive guidelines for preparing and reporting complex empirical evidence across various methodologies (SEM, econometrics, design science, qualitative). This guide ensures results meet the high academic standards of top-tier journals by emphasizing theoretical traceability, statistical rigor, and required data transparency, including full correlation/covariance matrices.

A comprehensive guide for writing the 'Related Work' section for top-tier speech conference papers. It teaches authors how to trace the academic lineage of a task across multiple venues (e.g., ISCA, ICASSP, NeurIPS), properly cite canonical corpora and metrics, and condense complex literature reviews into concise, contrastive clauses.

A comprehensive guide for authors submitting to international finance journals, detailing how to structure the online supplementary appendix and prepare the data-and-code deposit. It ensures that supporting material is organized, traceable to main claims, and that data accessibility statements are compliant with institutional policies, especially for restricted international data.

A comprehensive guide for researchers focusing on quantitative economic measurement, including TFP, efficiency analysis (DEA/SFA), and index construction. It emphasizes the necessity of methodological transparency, data traceability, reproducible calculations, and rigorous sensitivity testing to ensure the scientific validity of quantitative findings.