C2Metadata: Automating the Capture of Data Transformations from Statistical Scripts in Data Documentation
Summary: Automates capture of transformations from statistical scripts into provenance metadata. Introduces SDTA, a compact algebra for transformations, implemented in SDTL; enables provenance tracing (SPSS, Stata; SAS/R coming) across languages via a web UI. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jie Song (University of Michigan)
- 2. George Alter (University of Michigan)
- 3. H. V. Jagadish (University of Michigan)
BibTeX Citation
@inproceedings{song_sigmod19,
title = {{C2Metadata: Automating the Capture of Data Transformations from Statistical Scripts in Data Documentation}},
author = {Song, Jie and Alter, George and Jagadish, H. V.},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3320241},
url = {https://dl.acm.org/doi/10.1145/3299869.3320241},
year = {2019}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,417 | Demystifying the QoS and QoE of Edge-hosted Video Streaming Applications in the Wild with SNESet | 2023 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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