Skill UI

Provides comprehensive guidelines for researchers packaging and releasing artifacts (data, code, instruments) derived from real communities in CSCW research. It emphasizes ethical constraints, de-identification techniques (such as quote search and join attacks), and best practices for protecting studied communities' privacy, ensuring responsible sharing.

This guide details the best practices for preparing and submitting supplementary materials for CSCW submissions. It clarifies the difference between main papers, appendices, and separate files, emphasizing that anything needed to *trust* the method belongs here. Crucially, it provides deep guidelines on data anonymization, metadata scrubbing, and version control for review rounds.

This guide details best practices for enhancing the credibility of academic manuscripts submitted to scholarly journals, particularly addressing code and data availability. It teaches authors how to proactively provide stable links, checksums, comprehensive reproducibility scripts, and clear licensing statements. The focus is on bolstering trustworthiness for single-blind review processes, even when the journal does not mandate formal artifact badges.

This guide provides an expert framework for advanced econometric analysis, focusing on establishing causal inference in fields like finance and trade. It details best practices for quasi-experimental designs (DID, IV, RDD, DML) and rigorously addresses common endogeneity issues such as policy bias, reverse causality, and anticipation effects, ensuring robust research methodology.

A comprehensive guide for creating self-contained, high-quality tables and figures for demography manuscripts. It outlines best practices for generating distinctive demographic graphics—such as population pyramids, Lexis surfaces, and survival curves—ensuring they are accessible, reproducible, and adhere to journal limits.

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.

Provides comprehensive guidelines for authors preparing tables and figures for high-impact economics journals. The core principle is ensuring that every exhibit is self-contained, legible, and communicates the economic magnitude and meaning to a generalist audience, even without reading the surrounding text. It covers best practices for reporting elasticities, confidence bands, and structuring arguments.

This guide assists researchers in structuring and rigorously developing the economic model or mechanism for academic papers. It provides best practices for moving beyond mere empirical findings, ensuring that every result is tied to a clear, testable economic theory, whether through minimal-model discipline or full general equilibrium analysis. Essential for submissions to top-tier economics journals.

Provides a comprehensive guide on generating and reporting rigorous Monte Carlo and finite-sample evidence for econometrics and statistical methods papers. It details best practices for designing simulations, stress-testing assumption boundaries (degenerate cases), comparing against existing estimators, and ensuring full reproducibility to validate theoretical results for realistic sample sizes.

A comprehensive guide detailing the rigorous standards for presenting statistical exhibits in high-level econometric theory journals. It covers best practices for Monte Carlo simulations, constructing diagnostic plots (size, power, coverage, bias), ensuring legibility at print reduction, and adhering to specific file formats (TIFF/EPS/PDF).

This guide outlines best practices for achieving high levels of research reproducibility for academic papers, particularly in database and systems research. It details methods for pinning dataset versions, logging system environments, mapping empirical claims to verifiable evidence, and structuring availability statements. Adherence ensures the work is robust, transparent, and fully verifiable by the scientific community.

A comprehensive guide for authors preparing manuscripts for top economics journals (e.g., EER). It details best practices for designing self-contained tables and figures, emphasizing the correct reporting of standard errors (SEs), confidence intervals (CIs), and interpreting results cleanly. This guide ensures exhibits adhere to rigorous academic publishing standards, moving beyond simple star counts to let the magnitude of the result speak for itself.