Data Market Platforms: Trading Data Assets to Solve Data Problems
Summary: Proposes data market platforms to monetize data sharing, solving incentives by rewarding owners and matching needs. Outlines market design and systems implementation for internal and cross-org markets, treating data as a first-class asset. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Raul Castro Fernandez (University of Chicago)
- 2. Pranav Subramaniam (University of Chicago)
- 3. Michael J. Franklin (University of Chicago)
BibTeX Citation
@article{fernandez_vldb20,
title = {{Data Market Platforms: Trading Data Assets to Solve Data Problems}},
author = {Fernandez, Raul Castro and Subramaniam, Pranav and Franklin, Michael J.},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {11},
pages = {1933--1947},
doi = {10.14778/3407790.3407800},
url = {https://doi.org/10.14778/3407790.3407800},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 21 of 21 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 22 of 22 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next