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Responsible Data Management

Summary: Outlines a values- and governance-centered research agenda for responsible ADS data management, integrating auditing, legal compliance, and public disclosure. Argues that the data-management community uniquely leads the design, deployment, and oversight of socio-technical decision systems, expanding beyond efficiency to societal impact. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12229
Venue
VLDB
Year
2020
Pagerank
0.00012174977
Overall Rank
1,404 | 90.24%
DOI
10.14778/3415478.3415570

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 21 of 21 citing papers.

Rank Citing Paper Year Venue Pagerank
1,867 Interpretable Data-Based Explanations for Fairness Debugging 2022 SIGMOD 0.00010272055
3,806 HedgeCut: Maintaining Randomised Trees for Low-Latency Machine Unlearning 2021 SIGMOD 6.7492837e-05
4,734 MLINSPECT: A Data Distribution Debugger for Machine Learning Pipelines 2021 SIGMOD 5.9615384e-05
4,769 Automated Feature Engineering for Algorithmic Fairness 2021 VLDB 5.934329e-05
6,291 Lightweight Inspection of Data Preprocessing in Native Machine Learning Pipelines 2021 CIDR 5.1269764e-05
6,892 Identifying Insufficient Data Coverage for Ordinal Continuous-Valued Attributes 2021 SIGMOD 4.8925683e-05
8,114 mlwhatif: What If You Could Stop Re-Implementing Your Machine Learning Pipeline Analyses Over and Over? 2023 VLDB 4.5823351e-05
8,257 Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines 2023 SIGMOD 4.5487511e-05
9,246 Happiness Maximizing Sets under Group Fairness Constraints 2023 VLDB 4.3690661e-05
9,644 Fair and Actionable Causal Prescription Ruleset 2025 SIGMOD 4.3109001e-05
9,712 Maximizing Fair Content Spread via Edge Suggestion in Social Networks 2022 VLDB 4.299267e-05
9,856 In-Database Data Imputation 2024 SIGMOD 4.269353e-05
10,223 On Fair Epsilon Net and Geometric Hitting Set 2026 VLDB 4.1945683e-05
10,291 Morphing-based Compression for Data-centric ML Pipelines 2026 VLDB 4.1945683e-05
10,306 Fault Lines: Benchmarking the Impact of Label Data Quality on ML Robustness and Fairness 2026 VLDB 4.1945683e-05
10,644 Still More Shades of Null: An Evaluation Suite for Responsible Missing Value Imputation 2025 VLDB 4.1945683e-05
10,816 mlidea: Interactively Improving ML Data Preparation Code via "Shadow Pipelines" 2025 VLDB 4.1945683e-05
10,960 FairHash: A Fair and Memory/Time-efficient Hashmap 2024 SIGMOD 4.1945683e-05
11,096 Snapcase – Regain Control over Your Predictions with Low-Latency Machine Unlearning 2024 VLDB 4.1945683e-05
11,310 Screening Native ML Pipelines with “ArgusEyes” 2022 CIDR 4.1945683e-05
11,476 Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study 2021 SIGMOD 4.1945683e-05
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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
1,041 Interventional Fairness : Causal Database Repair for Algorithmic Fairness 2019 SIGMOD 0.00014482047
1,449 Causal Relational Learning 2020 SIGMOD 0.0001193267
5,555 On Obtaining Stable Rankings 2019 VLDB 5.4386174e-05
7,191 A Nutritional Label for Rankings 2018 SIGMOD 4.8049534e-05
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