HYPNOS: Interactive Data Lineage Tracing for Data Transformation Scripts

In a formal data analysis workflow, data validation is a necessary step that helps data analysts verify the quality of the data and ensure the reliability of the results. Data analysts usually need to validate the result when encountering an unexpected result, such as an abnormal record in a table. In order to understand how a specific record is derived, they would backtrace it in the pipeline step by step via checking the code lines, exposing the intermediate tables, and finding the data records from which it is derived. However, manually reviewing code and backtracing data requires certain expertise, while inspecting the traced records in multiple tables and interpreting their relationships is tedious. In this work, we propose HYPNOS, a visualization system that supports interactive data lineage tracing for data transformation scripts. HYPNOS uses a lineage module for parsing and adapting code to capture both schema-level and instance-level data lineage from data transformation scripts. Then, it provides users with a lineage view for obtaining an overview of the data transformation process and a detail view for tracing instance-level data lineage and inspecting details. HYPNOS reveals different levels of data relationships and helps users with data lineage tracing. We demonstrate the usability and effectiveness of HYPNOS through a use case, interviews of four expert users, and a user study.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Visualization and Computer Graphics
Published
2025-03-18
DOI
https://doi.org/10.1109/tvcg.2025.3552091
Citations
1
Primary Topic
Advanced Data Storage Technologies
Type
article
Field-Weighted Citation Impact
1.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

HYPNOS: Interactive Data Lineage Tracing for Data Transformation Scripts

Datong Wei, Shuainan Ye, Yingcai Wu, Di Weng et al.
1 citations
IEEE Transactions on Visualization and Computer Graphics
Advanced Data Storage Technologies
1.49
article

HYPNOS: Interactive Data Lineage Tracing for Data Transformation Scripts

Datong Wei, Shuainan Ye, Yingcai Wu, Di Weng, Ke Xu, Kai Xiong, Long Jiang, Xiaodong Ge, Xiwen Cai
article en
1 citations

Abstract

In a formal data analysis workflow, data validation is a necessary step that helps data analysts verify the quality of the data and ensure the reliability of the results. Data analysts usually need to validate the result when encountering an unexpected result, such as an abnormal record in a table. In order to understand how a specific record is derived, they would backtrace it in the pipeline step by step via checking the code lines, exposing the intermediate tables, and finding the data records from which it is derived. However, manually reviewing code and backtracing data requires certain expertise, while inspecting the traced records in multiple tables and interpreting their relationships is tedious. In this work, we propose HYPNOS, a visualization system that supports interactive data lineage tracing for data transformation scripts. HYPNOS uses a lineage module for parsing and adapting code to capture both schema-level and instance-level data lineage from data transformation scripts. Then, it provides users with a lineage view for obtaining an overview of the data transformation process and a detail view for tracing instance-level data lineage and inspecting details. HYPNOS reveals different levels of data relationships and helps users with data lineage tracing. We demonstrate the usability and effectiveness of HYPNOS through a use case, interviews of four expert users, and a user study.

IEEE Transactions on Visualization and Computer GraphicsVol. 31(10)
Huawei Technologies (China) (CN), Nanjing University of Science and Technology (CN), Zhejiang Lab (CN), Zhejiang University (CN)
Openalex Percentile: Top 19%
Advanced Data Storage Technologies
1.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.