Skill UI

This guide helps researchers determine the optimal venue for their database project, analyzing whether the work belongs at EDBT, SIGMOD, VLDB, ICDE, or a dedicated theory venue like ICDT. It provides frameworks for choosing the right conference based on contribution type (systems, theory, experiments), open access preferences, and submission cycle proximity.

A comprehensive guide for authors to position their ML systems research by mapping the vast, scattered literature across multiple venues (OSDI, SOSP, NeurIPS, open-source projects). It details how to audit novelty, handle fast-moving advancements, and write a defensible delta statement against both academic and industrial prior work.

This comprehensive guide teaches researchers how to conduct an exhaustive "reinvention audit" for academic papers, specifically in the database field. It covers searching deep historical literature (pre-2000), modern conference venues (SIGMOD, ICDE), and industrial open-source systems (PostgreSQL, RocksDB) to ensure true novelty and properly position the contribution delta.