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Responsible Data Integration: Next-generation Challenges

Summary: Tutorial on responsible data integration, linking data quality and bias to auditing in ML pipelines. Focus: (1) auditing quality and bias; (2) tasks raising responsibility measures; (3) techniques and open problems for responsible data science. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
heb33d91ab13e6658
Venue
SIGMOD
Year
2022
Pagerank
6.0460189e-05
Overall Rank
5,622 | 62.32%
DOI
10.1145/3514221.3522567

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{nargesian_sigmod22,
        title = {{Responsible Data Integration: Next-generation Challenges}},
        author = {Nargesian, Fatemeh and Asudeh, Abolfazl and Jagadish, H. V.},
        series = {{SIGMOD} '22},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3514221.3522567},
        url = {https://dl.acm.org/doi/10.1145/3514221.3522567},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

Rank Citing Paper Year Venue Pagerank
5,759 Optimizing Data Acquisition to Enhance Machine Learning Performance 2024 VLDB 5.9856409e-05
6,242 The Fast and the Private: Task-based Dataset Search 2024 CIDR 5.8223943e-05
8,106 Saibot: A Differentially Private Data Search Platform 2023 VLDB 5.3739121e-05
9,039 Data Acquisition for Improving Model Confidence 2024 SIGMOD 5.2188954e-05
9,605 Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of Minorities 2024 VLDB 5.1376962e-05
9,990 Fair and Actionable Causal Prescription Ruleset 2025 SIGMOD 5.0845476e-05
10,076 Maximizing Fair Content Spread via Edge Suggestion in Social Networks 2022 VLDB 5.0732737e-05
10,767 On Fair Epsilon Net and Geometric Hitting Set 2026 VLDB 4.9605343e-05
10,882 Unbiased Binning for Fairness-aware Attribute Representation 2026 VLDB 4.9605343e-05
11,277 Understanding the Black Box: A Deep Empirical Dive into Shapley Value Approximations for Tabular Data 2025 SIGMOD 4.9605343e-05
11,574 FairHash: A Fair and Memory/Time-efficient Hashmap 2024 SIGMOD 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 27 of 27 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
57 On Random Sampling over Joins 1999 SIGMOD 0.0003999751
138 Join Synopses for Approximate Query Answering 1999 SIGMOD 0.00029532435
594 Wander Join: Online Aggregation via Random Walks 2016 SIGMOD 0.00015814493
679 JOSIE: Overlap Set Similarity Search for Finding Joinable Tables in Data Lakes 2019 SIGMOD 0.00014802
758 Table Union Search on Open Data 2018 VLDB 0.00014200657
793 Random Sampling over Joins Revisited 2018 SIGMOD 0.00013903938
804 Interventional Fairness : Causal Database Repair for Algorithmic Fairness 2019 SIGMOD 0.00013788292
1,325 LSH Ensemble: Internet-Scale Domain Search 2016 VLDB 0.000110184
1,333 Auctus: A Dataset Search Engine for Data Discovery and Augmentation 2021 VLDB 0.00010982382
1,832 A Scalable Hash Ripple Join Algorithm 2002 SIGMOD 9.5365548e-05
2,940 Organizing Data Lakes for Navigation 2020 SIGMOD 7.8206062e-05
3,024 Data Acquisition for Improving Machine Learning Models 2021 VLDB 7.7237124e-05
3,093 Correlation Sketches for Approximate Join-Correlation Queries 2021 SIGMOD 7.6378811e-05
3,141 MithraCoverage: A System for Investigating Population Bias for Intersectional Fairness 2020 SIGMOD 7.5862072e-05
4,049 Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models 2021 SIGMOD 6.8169373e-05
4,270 Sample Debiasing in the Themis Open World Database System 2020 SIGMOD 6.6762181e-05
4,472 Data Debugging and Exploration with Vizier 2019 SIGMOD 6.5709808e-05
4,626 Cost-Effective Crowdsourced Entity Resolution: A Partial-Order Approach 2016 SIGMOD 6.480594e-05
5,094 Data Collection and Quality Challenges for Deep Learning 2020 VLDB 6.264232e-05
5,423 RONIN: Data Lake Exploration 2021 VLDB 6.1230414e-05
5,752 Tailoring Data Source Distributions for Fairness-aware Data Integration 2021 VLDB 5.9890389e-05
6,173 Automatic Data Acquisition for Deep Learning 2021 VLDB 5.8459104e-05
6,984 Fairly Evaluating and Scoring Items in a Data Set 2020 VLDB 5.6117769e-05
7,513 Identifying Insufficient Data Coverage for Ordinal Continuous-Valued Attributes 2021 SIGMOD 5.4906303e-05
7,902 Identifying Insufficient Data Coverage in Databases with Multiple Relations 2020 VLDB 5.4135994e-05
8,502 Deep Learning: Systems and Responsibility 2021 SIGMOD 5.3130138e-05
9,460 Cost-efficient Data Acquisition on Online Data Marketplaces for Correlation Analysis 2019 VLDB 5.1596443e-05
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