VLDB 2026: Call for Contributions - Research Track

The Proceedings of the VLDB (PVLDB) is a scholarly journal for short and timely research papers pursuing a strict quality assurance process, with a monthly submission process and rapid reviews. PVLDB issues are published regularly throughout the year, with papers appearing soon after acceptance, possibly in advance of the VLDB Conference.

Overview

All papers accepted for Volume 19 by June 15, 2026, will form the Research Track of the VLDB 2026 Conference. Papers accepted to Volume 19 after June 15, 2026, will be rolled over to the VLDB 2027 Conference. At least one author of each accepted paper must attend the VLDB 2026 Conference.

PVLDB is the only submission channel for research papers to appear in the VLDB 2026 Conference.

Submission Guidelines

• Please see the Submission Guidelines for paper submission instructions.
• The submission process for other VLDB 2026 tracks, such as Demonstrations or Tutorials, is different and is described in their respective calls for papers.

For more details, please visit the PVLDB website: www.vldb.org/pvldb/volumes/19/contributions.

Important Dates (Research Track)

All deadlines are 5 p.m. PT, unless otherwise noted.

Chairs	Submissions Open	Submissions Deadline	Notifications	Camera-Ready Submissions
Yanlei Diao (Ecole Polytechnique, Amazon Web Services) Xiaokui Xiao (National University of Singapore)	23rd of every month starting March 2025	1st of every month until March 2026	15th of the next month following the deadline	Proceedings chairs will contact the authors with CR instructions by the 5th of the next month following the acceptance notification

Key Areas of Interest

• data mining and analytics
• data privacy and security
• database engines
• database performance and manageability
• distributed database systems
• graph and network data
• information integration and data quality
• languages
• machine learning, ai, and databases
• novel database architectures
• provenance and workflows
• specialized and domain-specific data management
• text and semi-structured data
• user interfaces