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: 6469
Venue: SIGMOD
Year: 2022
Pagerank: 6.1919207e-05
Overall Rank: 5,510 | 62.20%
DOI: 10.1145/3514221.3522567

Incoming Non-self Citations Over Time

Authors

1. Fatemeh Nargesian (University of Rochester)
2. Abolfazl Asudeh (University of Illinois Chicago)
3. H. V. Jagadish (University of Michigan)

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 10 of 10 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
6,094	The Fast and the Private: Task-based Dataset Search	2024	CIDR	5.9786215e-05
7,034	Optimizing Data Acquisition to Enhance Machine Learning Performance	2024	VLDB	5.7217787e-05
7,914	Saibot: A Differentially Private Data Search Platform	2023	VLDB	5.5181056e-05
8,842	Data Acquisition for Improving Model Confidence	2024	SIGMOD	5.3589295e-05
9,388	Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of Minorities	2024	VLDB	5.2755515e-05
9,773	Fair and Actionable Causal Prescription Ruleset	2025	SIGMOD	5.2209769e-05
9,848	Maximizing Fair Content Spread via Edge Suggestion in Social Networks	2022	VLDB	5.2094004e-05
10,511	On Fair Epsilon Net and Geometric Hitting Set	2026	VLDB	5.093636e-05
10,796	Understanding the Black Box: A Deep Empirical Dive into Shapley Value Approximations for Tabular Data	2025	SIGMOD	5.093636e-05
11,174	FairHash: A Fair and Memory/Time-efficient Hashmap	2024	SIGMOD	5.093636e-05

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
54	On Random Sampling over Joins	1999	SIGMOD	0.00040810225
136	Join Synopses for Approximate Query Answering	1999	SIGMOD	0.00030123303
593	Wander Join: Online Aggregation via Random Walks	2016	SIGMOD	0.00016027871
779	JOSIE: Overlap Set Similarity Search for Finding Joinable Tables in Data Lakes	2019	SIGMOD	0.00014092047
802	Random Sampling over Joins Revisited	2018	SIGMOD	0.00013907725
863	Interventional Fairness : Causal Database Repair for Algorithmic Fairness	2019	SIGMOD	0.00013531835
878	Table Union Search on Open Data	2018	VLDB	0.00013463374
1,447	Auctus: A Dataset Search Engine for Data Discovery and Augmentation	2021	VLDB	0.00010760327
1,495	LSH Ensemble: Internet-Scale Domain Search	2016	VLDB	0.00010571481
1,785	A Scalable Hash Ripple Join Algorithm	2002	SIGMOD	9.7702627e-05
2,994	Data Acquisition for Improving Machine Learning Models	2021	VLDB	7.8762343e-05
3,015	Organizing Data Lakes for Navigation	2020	SIGMOD	7.848843e-05
3,091	MithraCoverage: A System for Investigating Population Bias for Intersectional Fairness	2020	SIGMOD	7.7684166e-05
3,228	Correlation Sketches for Approximate Join-Correlation Queries	2021	SIGMOD	7.6215176e-05
4,205	Sample Debiasing in the Themis Open World Database System	2020	SIGMOD	6.8337021e-05
4,373	Data Debugging and Exploration with Vizier	2019	SIGMOD	6.738145e-05
4,382	Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models	2021	SIGMOD	6.7331832e-05
4,538	Cost-Effective Crowdsourced Entity Resolution: A Partial-Order Approach	2016	SIGMOD	6.6404776e-05
5,631	Tailoring Data Source Distributions for Fairness-aware Data Integration	2021	VLDB	6.1427477e-05
5,956	RONIN: Data Lake Exploration	2021	VLDB	6.0287066e-05
6,074	Automatic Data Acquisition for Deep Learning	2021	VLDB	5.9860133e-05
6,315	Data Collection and Quality Challenges for Deep Learning	2020	VLDB	5.915447e-05
6,824	Fairly Evaluating and Scoring Items in a Data Set	2020	VLDB	5.7623529e-05
7,367	Identifying Insufficient Data Coverage for Ordinal Continuous-Valued Attributes	2021	SIGMOD	5.6319194e-05
7,721	Identifying Insufficient Data Coverage in Databases with Multiple Relations	2020	VLDB	5.5587371e-05
8,328	Deep Learning: Systems and Responsibility	2021	SIGMOD	5.4535681e-05
9,253	Cost-efficient Data Acquisition on Online Data Marketplaces for Correlation Analysis	2019	VLDB	5.297659e-05

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