GouDa - generation of universal data sets: improving analysis and evaluation of data preparation pipelines. - Valerie Restat; Gerrit Boerner; André Conrad; Uta Störl (DEEM@SIGMOD, 2022)

Towards a Holistic Data Preparation Tool. - Valerie Restat; Meike Klettke; Uta Störl (EDBT/ICDT Workshops, 2022)

FAIR is not enough - A Metrics Framework to ensure Data Quality through Data Preparation. - Valerie Restat; Meike Klettke; Uta Störl (BTW, 2023)

Towards "all-inclusive" Data Preparation to ensure Data Quality. - Valerie Restat (CoRR, 2023)

Quantum versus Classical Computation: Automatic Decision-Making Approaches. - Markus Zajac; Valerie Restat; Uta Störl (INFORMATIK, 2024)

Towards an End-to-End Data Quality Optimizer. - Valerie Restat; Meike Klettke; Uta Störl (ICDEW, 2024)

CheDDaR: Checking Data - Data Quality Report. - Indra Diestelkämper; Ralf Diestelkämper; Valerie Restat (BTW, 2025)

ALPINE: Abstract Language for Pipeline Integration and Execution. - Valerie Restat; Uta Störl (BTW Workshops, 2025)

Towards Next Generation Data Engineering Pipelines. - Kevin M. Kramer; Valerie Restat; Sebastian Strasser; Uta Störl; Meike Klettke (CoRR, 2025)

MVIAnalyzer: A Holistic Approach to Analyze Missing Value Imputation. - Valerie Restat; Kai Tejkl; Uta Störl (CoRR, 2025)

Data Cleaning of Data Streams. - Valerie Restat; Niklas Rodenhausen; Carina Antonin; Uta Störl (CoRR, 2025)

FONDUE - Fine-Tuned Optimization: Nurturing Data Usability & Efficiency. - Valerie Restat; Indra Diestelkämper; Meike Klettke; Uta Störl (J. Big Data, 2025)