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Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff

Summary: Formalizes six dataset-versioning problems around the storage–recreation-time tradeoff, showing most are intractable. Develops scheduling- and spanning-tree-based heuristics, validated in a prototype and experiments for large collaborative data-science repositories. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11201
Venue
VLDB
Year
2015
Pagerank
0.00011069122
Overall Rank
1,349 | 90.75%
DOI
10.14778/2824032.2824035

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{bhattacherjee_vldb15,
        title = {{Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff}},
        author = {Bhattacherjee, Souvik and Chavan, Amit and Huang, Silu and Deshpande, Amol and Parameswaran, Aditya},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {12},
        pages = {1346--1357},
        doi = {10.14778/2824032.2824035},
        url = {https://doi.org/10.14778/2824032.2824035},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 26 of 26 citing papers.

Rank Citing Paper Year Venue Pagerank
514 Goods: Organizing Google's Datasets 2016 SIGMOD 0.00017178673
749 Data Lake Management: Challenges and Opportunities 2019 VLDB 0.00014379989
1,121 ARDA: Automatic Relational Data Augmentation for Machine Learning 2020 VLDB 0.00012093059
1,670 MISTIQUE: A System to Store and Query Model Intermediates for Model Diagnosis 2018 SIGMOD 0.00010045615
1,946 OrpheusDB: Bolt-on Versioning for Relational Databases 2017 VLDB 9.4334506e-05
2,235 Decibel: The Relational Dataset Branching System 2016 VLDB 8.8913373e-05
3,208 ForkBase: An Efficient Storage Engine for Blockchain and Forkable Applications 2018 VLDB 7.635872e-05
3,402 Collaborative Data Analytics with DataHub 2015 VLDB 7.4418927e-05
3,634 Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees 2023 SIGMOD 7.2358691e-05
4,990 Explaining Dataset Changes for Semantic Data Versioning with Explain-Da-V 2023 VLDB 6.4105738e-05
5,026 ORPHEUSDB: A Lightweight Approach to Relational Dataset Versioning 2017 SIGMOD 6.3970621e-05
5,404 Dagger: A Data (not code) Debugger 2020 CIDR 6.2294192e-05
5,547 Beyond Relations: A Case for Elevating to the Entity-Relationship Abstraction 2025 CIDR 6.1790655e-05
5,699 Optimizing Machine Learning Workloads in Collaborative Environments 2020 SIGMOD 6.1170243e-05
5,931 Your notebook is not crumby enough, REPLace it 2020 CIDR 6.0369708e-05
6,071 Fine-Grained Lineage for Safer Notebook Interactions 2021 VLDB 5.9873765e-05
6,309 Materialization and Reuse Optimizations for Production Data Science Pipelines 2022 SIGMOD 5.9189554e-05
7,065 Dataset Relationship Management 2019 CIDR 5.7123431e-05
7,300 DEX: Query Execution in a Delta-based Storage System 2017 SIGMOD 5.6509215e-05
7,812 LETUS: A Log-Structured Efficient Trusted Universal BlockChain Storage 2024 SIGMOD 5.5393291e-05
8,950 OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance From Database Query Event Logs 2023 VLDB 5.345946e-05
9,065 R2D2: Reducing Redundancy and Duplication in Data Lakes 2023 SIGMOD 5.3251649e-05
9,528 CHEX: Multiversion Replay with Ordered Checkpoints 2022 VLDB 5.2549275e-05
9,884 Pensieve: Skewness-Aware Version Switching for Efficient Graph Processing 2020 SIGMOD 5.2028745e-05
10,750 Alsatian: Optimizing Model Search for Deep Transfer Learning 2025 SIGMOD 5.093636e-05
13,482 Effective Data Versioning for Collaborative Data Analytics 2020 SIGMOD -
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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
335 A Taxonomy of Time in Databases 1985 SIGMOD 0.00020869676
701 Archiving Scientific Data 2002 SIGMOD 0.00014870915
1,077 DataHub: Collaborative Data Science & Dataset Version Management at Scale 2015 CIDR 0.00012269438
5,488 Managing Structured Collections of Community Data 2011 CIDR 6.2005482e-05
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