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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
12230
Venue
VLDB
Year
2020
Pagerank
0.0001216385
Overall Rank
1,406 | 90.23%
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
1,869 Interpretable Data-Based Explanations for Fairness Debugging 2022 SIGMOD 0.00010263235
3,807 HedgeCut: Maintaining Randomised Trees for Low-Latency Machine Unlearning 2021 SIGMOD 6.7428898e-05
4,731 MLINSPECT: A Data Distribution Debugger for Machine Learning Pipelines 2021 SIGMOD 5.9558692e-05
4,761 Automated Feature Engineering for Algorithmic Fairness 2021 VLDB 5.9341687e-05
6,290 Lightweight Inspection of Data Preprocessing in Native Machine Learning Pipelines 2021 CIDR 5.1220786e-05
6,895 Identifying Insufficient Data Coverage for Ordinal Continuous-Valued Attributes 2021 SIGMOD 4.8879337e-05
8,119 mlwhatif: What If You Could Stop Re-Implementing Your Machine Learning Pipeline Analyses Over and Over? 2023 VLDB 4.5779426e-05
8,253 Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines 2023 SIGMOD 4.5444167e-05
9,253 Happiness Maximizing Sets under Group Fairness Constraints 2023 VLDB 4.3648789e-05
9,644 Fair and Actionable Causal Prescription Ruleset 2025 SIGMOD 4.3067693e-05
9,711 Maximizing Fair Content Spread via Edge Suggestion in Social Networks 2022 VLDB 4.2951473e-05
9,855 In-Database Data Imputation 2024 SIGMOD 4.2652623e-05
10,223 On Fair Epsilon Net and Geometric Hitting Set 2026 VLDB 4.1905499e-05
10,303 Morphing-based Compression for Data-centric ML Pipelines 2026 VLDB 4.1905499e-05
10,318 Fault Lines: Benchmarking the Impact of Label Data Quality on ML Robustness and Fairness 2026 VLDB 4.1905499e-05
10,652 Still More Shades of Null: An Evaluation Suite for Responsible Missing Value Imputation 2025 VLDB 4.1905499e-05
10,821 mlidea: Interactively Improving ML Data Preparation Code via "Shadow Pipelines" 2025 VLDB 4.1905499e-05
10,963 FairHash: A Fair and Memory/Time-efficient Hashmap 2024 SIGMOD 4.1905499e-05
11,099 Snapcase – Regain Control over Your Predictions with Low-Latency Machine Unlearning 2024 VLDB 4.1905499e-05
11,312 Screening Native ML Pipelines with “ArgusEyes” 2022 CIDR 4.1905499e-05
11,480 Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study 2021 SIGMOD 4.1905499e-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
1,037 Interventional Fairness : Causal Database Repair for Algorithmic Fairness 2019 SIGMOD 0.00014514825
1,454 Causal Relational Learning 2020 SIGMOD 0.00011921443
5,558 On Obtaining Stable Rankings 2019 VLDB 5.4375292e-05
7,191 A Nutritional Label for Rankings 2018 SIGMOD 4.8003424e-05
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