Responsible Data Management

Summary: Positions data management as central to responsible Automated Decision Systems (ADS), spanning socio-legal-technical pipelines and oversight. Calls for research beyond efficiency and accuracy toward explicit values, beliefs, accountability, auditing, and public impact. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 12417
Venue: VLDB
Year: 2020
Pagerank: 0.00011111667
Overall Rank: 1,340 | 90.81%
DOI: 10.14778/3415478.3415570

Incoming Non-self Citations Over Time

Authors

1. Julia Stoyanovich (New York University)
2. Bill Howe (University of Washington)
3. H.V. Jagadish (University of Michigan)

BibTeX Citation

@article{stoyanovich_vldb20,
        title = {{Responsible Data Management}},
        author = {Stoyanovich, Julia and Howe, Bill and Jagadish, H.V.},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {12},
        pages = {3474--3488},
        doi = {10.14778/3415478.3415570},
        url = {https://doi.org/10.14778/3415478.3415570},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 22 of 22 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,951	Interpretable Data-Based Explanations for Fairness Debugging	2022	SIGMOD	9.4252389e-05
3,905	Automated Feature Engineering for Algorithmic Fairness	2021	VLDB	7.029145e-05
3,960	HedgeCut: Maintaining Randomised Trees for Low-Latency Machine Unlearning	2021	SIGMOD	6.9878154e-05
4,518	MLINSPECT: A Data Distribution Debugger for Machine Learning Pipelines	2021	SIGMOD	6.6474737e-05
6,250	Lightweight Inspection of Data Preprocessing in Native Machine Learning Pipelines	2021	CIDR	5.9418015e-05
7,367	Identifying Insufficient Data Coverage for Ordinal Continuous-Valued Attributes	2021	SIGMOD	5.6319194e-05
7,395	Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines	2023	SIGMOD	5.6257796e-05
7,490	mlwhatif: What If You Could Stop Re-Implementing Your Machine Learning Pipeline Analyses Over and Over?	2023	VLDB	5.6061425e-05
9,393	Happiness Maximizing Sets under Group Fairness Constraints	2023	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
9,993	In-Database Data Imputation	2024	SIGMOD	5.1815618e-05
10,238	Fair-Count-Min: Frequency Estimation under Equal Group-wise Approximation Factor	2026	SIGMOD	5.093636e-05
10,511	On Fair Epsilon Net and Geometric Hitting Set	2026	VLDB	5.093636e-05
10,589	Morphing-based Compression for Data-centric ML Pipelines	2026	VLDB	5.093636e-05
10,604	Fault Lines: Benchmarking the Impact of Label Data Quality on ML Robustness and Fairness	2026	VLDB	5.093636e-05
10,896	Still More Shades of Null: An Evaluation Suite for Responsible Missing Value Imputation	2025	VLDB	5.093636e-05
11,043	mlidea: Interactively Improving ML Data Preparation Code via “Shadow Pipelines”	2025	VLDB	5.093636e-05
11,174	FairHash: A Fair and Memory/Time-efficient Hashmap	2024	SIGMOD	5.093636e-05
11,302	Snapcase – Regain Control over Your Predictions with Low-Latency Machine Unlearning	2024	VLDB	5.093636e-05
11,509	Screening Native ML Pipelines with “ArgusEyes”	2022	CIDR	5.093636e-05
11,674	Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study	2021	SIGMOD	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
863	Interventional Fairness : Causal Database Repair for Algorithmic Fairness	2019	SIGMOD	0.00013531835
2,374	Causal Relational Learning	2020	SIGMOD	8.6755064e-05
5,465	On Obtaining Stable Rankings	2019	VLDB	6.2075408e-05
6,577	A Nutritional Label for Rankings	2018	SIGMOD	5.8364579e-05

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