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: he8671bd8c24f9d4a
Venue: VLDB
Year: 2020
Pagerank: 0.00011753159
Overall Rank: 1,162 | 92.19%
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 24 of 24 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,941	Interpretable Data-Based Explanations for Fairness Debugging	2022	SIGMOD	9.3297671e-05
3,745	Automated Feature Engineering for Algorithmic Fairness	2021	VLDB	7.055875e-05
4,037	HedgeCut: Maintaining Randomised Trees for Low-Latency Machine Unlearning	2021	SIGMOD	6.8390354e-05
4,606	MLINSPECT: A Data Distribution Debugger for Machine Learning Pipelines	2021	SIGMOD	6.5041225e-05
6,323	Lightweight Inspection of Data Preprocessing in Native Machine Learning Pipelines	2021	CIDR	5.8138422e-05
7,489	Identifying Insufficient Data Coverage for Ordinal Continuous-Valued Attributes	2021	SIGMOD	5.5113546e-05
7,538	Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines	2023	SIGMOD	5.4995874e-05
7,629	mlwhatif: What If You Could Stop Re-Implementing Your Machine Learning Pipeline Analyses Over and Over?	2023	VLDB	5.4803665e-05
9,576	Happiness Maximizing Sets under Group Fairness Constraints	2023	VLDB	5.1571823e-05
9,949	Fair and Actionable Causal Prescription Ruleset	2025	SIGMOD	5.1038322e-05
10,032	Maximizing Fair Content Spread via Edge Suggestion in Social Networks	2022	VLDB	5.0925155e-05
10,181	In-Database Data Imputation	2024	SIGMOD	5.0653015e-05
10,453	Fair-Count-Min: Frequency Estimation under Equal Group-wise Approximation Factor	2026	SIGMOD	4.9793485e-05
10,696	On Fair Epsilon Net and Geometric Hitting Set	2026	VLDB	4.9793485e-05
10,811	Unbiased Binning for Fairness-aware Attribute Representation	2026	VLDB	4.9793485e-05
10,945	Morphing-based Compression for Data-centric ML Pipelines	2026	VLDB	4.9793485e-05
10,985	CoBLOC - Continuous Block Level Fairness on Data Streams	2026	VLDB	4.9793485e-05
11,051	Fault Lines: Benchmarking the Impact of Label Data Quality on ML Robustness and Fairness	2026	VLDB	4.9793485e-05
11,294	Still More Shades of Null: An Evaluation Suite for Responsible Missing Value Imputation	2025	VLDB	4.9793485e-05
11,407	mlidea: Interactively Improving ML Data Preparation Code via “Shadow Pipelines”	2025	VLDB	4.9793485e-05
11,519	FairHash: A Fair and Memory/Time-efficient Hashmap	2024	SIGMOD	4.9793485e-05
11,621	Snapcase – Regain Control over Your Predictions with Low-Latency Machine Unlearning	2024	VLDB	4.9793485e-05
11,818	Screening Native ML Pipelines with “ArgusEyes”	2022	CIDR	4.9793485e-05
11,981	Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study	2021	SIGMOD	4.9793485e-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
803	Interventional Fairness : Causal Database Repair for Algorithmic Fairness	2019	SIGMOD	0.00013836858
2,315	Causal Relational Learning	2020	SIGMOD	8.6532142e-05
5,610	On Obtaining Stable Rankings	2019	VLDB	6.0686149e-05
6,692	A Nutritional Label for Rankings	2018	SIGMOD	5.7070994e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	7,617	Panel: A Debate on Data and Algorithmic Ethics	2018	VLDB
2	13,879	Data, Technology and the Challenges of Abundance	2015	CIDR
3	12,508	The Case for Personal Data-Driven Decision Making	2014	VLDB
4	7,779	Abstraction without regret in data management systems	2013	CIDR
5	11,038	Semantic Data Systems: From Data Management to Data Understanding	2026	VLDB
6	8,480	Deep Learning: Systems and Responsibility	2021	SIGMOD
7	4,957	Responsible Data Science	2019	SIGMOD
8	5,609	Responsible Data Integration: Next-generation Challenges	2022	SIGMOD
9	10,175	Is Data Management the Beating Heart of AI Systems?	2022	SIGMOD
10	13,808	The Responsibility Challenge for Data	2019	SIGMOD