Skill UI

A comprehensive pre-writing guide for researchers determining the optimal venue and track for a data science contribution. It outlines a two-stage decision process: first, assessing if the work aligns with the KDD focus on data regimes (scale, drift, heterogeneity); and second, selecting the correct track (Research, ADS, Datasets & Benchmarks, etc.) based on the strongest, most honest evidence available—especially emphasizing real-world deployment outcomes.

This guide provides comprehensive advice for positioning computer science manuscripts, particularly those involving software repository mining, developer behavior, and empirical methods, for the Mining Software Repositories (MSR) conference. It covers required elements like dataset construction, validity threat analysis, reproducible workflows, and aligning the work with the specific scope of software analytics venues, helping authors strategically re-frame their research for maximum impact.

A comprehensive guide for converting manuscripts from traditional author-date citation styles to the current Molecular Cell/Cell Press numbered format. This skill details the mechanics of in-text superscripts (ordered by first appearance), the creation of a single, continuous numbered reference list, and the required formatting for journal articles, books, and datasets. It ensures authors correctly transition their work to meet rigorous academic publishing standards.

This guide provides comprehensive best practices for packaging and documenting NLP research artifacts (datasets, models, prompts, etc.) for academic submission (e.g., NAACL/ARR). It emphasizes rigorous provenance tracing, ensuring reproducibility, and ethically handling sensitive data, particularly community-owned or indigenous language resources.

A comprehensive guide for authors submitting to Nature Geoscience. It details the critical distinction between the main article text, online Methods, and Supplementary Information (SI). Learn how to ensure your core findings are stand-alone and decisive, while relegating extensive datasets, model ensembles, and derivations to the SI, maintaining academic rigor and clarity.

This skill provides robust functionality to resolve free-text scientific labels into standard ontology term IDs (CURIEs) and validate existing identifiers against authoritative databases. It is essential for metadata curation, ensuring that submitted biological data (e.g., tissue types, diseases, assays) uses current, correct, and non-obsolete identifiers, thereby maintaining high data quality for large-scale scientific datasets.

This guide provides comprehensive standards for packaging ubiquitous computing sensing artifacts and datasets for academic publication. It covers best practices for ensuring reproducibility, emphasizing cross-subject evaluation (LOSO), necessary de-identification protocols for human-subjects data, and structuring the submission package for rigorous peer review.

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.

This guide provides strict guidelines for structuring supplementary material for PerCom conference papers. The core rule is that the main paper body (within the tight 9-page budget) must be self-contained, allowing a reviewer to make a decision without accessing the dataset or appendix. Learn how to properly partition evidence, manage page budgets, and adhere to double-blind review rules.

A comprehensive guide detailing how to convert various citation styles (such as APA or Harvard author-date) into the specific, numbered format required by the Proceedings of the National Academy of Sciences (PNAS). It covers numbered citations by order of appearance, full author listing, abbreviated journal titles, and specific formats for articles, books, and datasets, ensuring manuscripts meet high academic publishing standards.

Provides comprehensive guidelines for meeting high-level scientific publication standards, detailing the mandatory deposition of raw data (sequences, structures, datasets) and analysis code into approved public repositories. Learn how to obtain persistent identifiers (DOI/Accession) and ensure the reproducibility and integrity of your research findings for journals like PNAS.

A comprehensive guide for maintaining consistency and completeness of references for PNAS Nexus submissions. It details the critical differences between the format-neutral requirements at submission time and the final numbered style required for publication, emphasizing the proper citation of datasets, software, and preprints.