{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T02:06:06Z","timestamp":1783476366870,"version":"3.55.0"},"reference-count":51,"publisher":"Association for Computing Machinery (ACM)","issue":"3","license":[{"start":{"date-parts":[[2022,11,21]],"date-time":"2022-11-21T00:00:00Z","timestamp":1668988800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGMOD Rec."],"published-print":{"date-parts":[[2022,11,21]]},"abstract":"<jats:p>Well-functioning data markets match sellers with buyers to allocate data effectively. Although most of today's data markets fall short of this ideal, there is a renewed interest in online data marketplaces that may fulfill the promise of data markets. In this paper, we survey participants of some of the most common data marketplaces to understand the platforms' upsides and downsides. We find that buyers and sellers spend the majority of their time and effort in price negotiations. Although the markets work as an effective storefront that lets buyers find useful data fast, the high transaction costs required to negotiate price and circumvent the information asymmetry that exists between buyers and sellers indicates that today's marketplaces are still far from offering an effective solution to data trading. We draw on the results of the interviews to present potential opportunities for improvement and future research.<\/jats:p>","DOI":"10.1145\/3572751.3572757","type":"journal-article","created":{"date-parts":[[2022,11,22]],"date-time":"2022-11-22T00:40:48Z","timestamp":1669077648000},"page":"30-37","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":14,"title":["Revisiting Online Data Markets in 2022"],"prefix":"10.1145","volume":"51","author":[{"given":"Javen","family":"Kennedy","sequence":"first","affiliation":[{"name":"University of Chicago, Chicago, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pranav","family":"Subramaniam","sequence":"additional","affiliation":[{"name":"University of Chicago, Chicago, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sainyam","family":"Galhotra","sequence":"additional","affiliation":[{"name":"University of Chicago, Chicago, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Raul","family":"Castro Fernandez","sequence":"additional","affiliation":[{"name":"University of Chicago, Chicago, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,11,21]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"Amazon https:\/\/amazon.com.  Amazon https:\/\/amazon.com."},{"key":"e_1_2_1_2_1","unstructured":"Bloomberg https:\/\/www.bloomberg.com\/.  Bloomberg https:\/\/www.bloomberg.com\/."},{"key":"e_1_2_1_3_1","unstructured":"California consumer privacy act (ccpa) https:\/\/oag.ca.gov\/privacy\/ccpa.  California consumer privacy act (ccpa) https:\/\/oag.ca.gov\/privacy\/ccpa."},{"key":"e_1_2_1_4_1","unstructured":"Data dividend project https:\/\/www.datadividendproject.com\/.  Data dividend project https:\/\/www.datadividendproject.com\/."},{"key":"e_1_2_1_5_1","unstructured":"Facebook {https:\/\/facebook.com}.  Facebook {https:\/\/facebook.com}."},{"key":"e_1_2_1_6_1","unstructured":"Gmail https:\/\/mail.google.com\/mail\/.  Gmail https:\/\/mail.google.com\/mail\/."},{"key":"e_1_2_1_7_1","unstructured":"Instagram {https:\/\/instagram.com}.  Instagram {https:\/\/instagram.com}."},{"key":"e_1_2_1_8_1","unstructured":"Morningstar inc https:\/\/www.morningstar.com\/.  Morningstar inc https:\/\/www.morningstar.com\/."},{"key":"e_1_2_1_9_1","unstructured":"Narrative. https:\/\/www.narrative.io\/.  Narrative. https:\/\/www.narrative.io\/."},{"key":"e_1_2_1_10_1","unstructured":"Netflix https:\/\/netflix.com.  Netflix https:\/\/netflix.com."},{"key":"e_1_2_1_11_1","unstructured":"Streamr. https:\/\/streamr.network\/.  Streamr. https:\/\/streamr.network\/."},{"key":"e_1_2_1_12_1","unstructured":"\"data trusts\" could be the key to better ai https:\/\/hbr.org\/2020\/11\/data-trusts-co uld-be-the-key-to-better-ai 2020.  \"data trusts\" could be the key to better ai https:\/\/hbr.org\/2020\/11\/data-trusts-co uld-be-the-key-to-better-ai 2020."},{"key":"e_1_2_1_13_1","unstructured":"Data unions research summary https:\/\/streamr.network\/resources\/data _unions_research_report.pdf Feb 2020.  Data unions research summary https:\/\/streamr.network\/resources\/data _unions_research_report.pdf Feb 2020."},{"key":"e_1_2_1_14_1","unstructured":"The future of data trusts and the global race to dominate ai https:\/\/www.bennettinstitute .cam.ac.uk\/blog\/data-trusts1\/ 2021.  The future of data trusts and the global race to dominate ai https:\/\/www.bennettinstitute .cam.ac.uk\/blog\/data-trusts1\/ 2021."},{"key":"e_1_2_1_15_1","unstructured":"How data trusts can protect privacy https:\/\/www.technologyreview.com\/2021\/ 02\/24\/1017801\/data-trust-cybersecurity -big-tech-privacy\/ 2021.  How data trusts can protect privacy https:\/\/www.technologyreview.com\/2021\/ 02\/24\/1017801\/data-trust-cybersecurity -big-tech-privacy\/ 2021."},{"key":"e_1_2_1_16_1","volume-title":"Jan","year":"2021","unstructured":"Swash : Reimagining data ownership https:\/\/swashapp.io\/ , Jan 2021 . Swash: Reimagining data ownership https:\/\/swashapp.io\/, Jan 2021."},{"key":"e_1_2_1_17_1","volume-title":"Jan","year":"2021","unstructured":"Tx project : Tracey https:\/\/tx.company\/projects\/tracey\/ , Jan 2021 . Tx project: Tracey https:\/\/tx.company\/projects\/tracey\/, Jan 2021."},{"key":"e_1_2_1_18_1","unstructured":"Welcome to the diem project https:\/\/www.diem.com\/en-us\/ Jan 2021.  Welcome to the diem project https:\/\/www.diem.com\/en-us\/ Jan 2021."},{"key":"e_1_2_1_19_1","volume-title":"Jan","year":"2021","unstructured":"Acxiom. About acxiom https:\/\/www.acxiom.com\/about-us\/ , Jan 2021 . Acxiom. About acxiom https:\/\/www.acxiom.com\/about-us\/, Jan 2021."},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3328526.3329589"},{"key":"e_1_2_1_21_1","first-page":"219","volume-title":"Economic Welfare and the Allocation of Resources for Invention","author":"Arrow K. J.","year":"1972","unstructured":"K. J. Arrow . Economic Welfare and the Allocation of Resources for Invention , pages 219 -- 236 . Macmillan Education UK , London , 1972 . K. J. Arrow. Economic Welfare and the Allocation of Resources for Invention, pages 219--236. Macmillan Education UK, London, 1972."},{"key":"e_1_2_1_22_1","unstructured":"Aws data exchange. https:\/\/aws.amazon.com\/data-exchange\/.  Aws data exchange. https:\/\/aws.amazon.com\/data-exchange\/."},{"key":"e_1_2_1_23_1","volume-title":"A survey of data marketplaces and their business models","author":"Azcoitia S. A.","year":"2022","unstructured":"S. A. Azcoitia and N. Laoutaris . A survey of data marketplaces and their business models , 2022 . S. A. Azcoitia and N. Laoutaris. A survey of data marketplaces and their business models, 2022."},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.14778\/3357377.3357378"},{"key":"e_1_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3299869.3300078"},{"key":"e_1_2_1_26_1","volume-title":"May","author":"F. T. Commission","year":"2014","unstructured":"F. T. Commission . Data brokers: A call for transparency and accountability: A report of the federal trade commission (may 2014) https:\/\/www.ftc.gov\/reports\/data-broke rs-call-transparency-accountability-re port-federal-trade-commission-may-2014 , May 2014 . F. T. Commission. Data brokers: A call for transparency and accountability: A report of the federal trade commission (may 2014) https:\/\/www.ftc.gov\/reports\/data-broke rs-call-transparency-accountability-re port-federal-trade-commission-may-2014, May 2014."},{"key":"e_1_2_1_27_1","volume-title":"Data pricing in machine learning pipelines. CoRR, abs\/2108.07915","author":"Cong Z.","year":"2021","unstructured":"Z. Cong , X. Luo , J. Pei , F. Zhu , and Y. Zhang . Data pricing in machine learning pipelines. CoRR, abs\/2108.07915 , 2021 . Z. Cong, X. Luo, J. Pei, F. Zhu, and Y. Zhang. Data pricing in machine learning pipelines. CoRR, abs\/2108.07915, 2021."},{"key":"e_1_2_1_28_1","unstructured":"Dawex: Sell buy and share data. https:\/\/www.dawex.com\/en\/.  Dawex: Sell buy and share data. https:\/\/www.dawex.com\/en\/."},{"key":"e_1_2_1_29_1","volume-title":"Some data on the market for data. IO: Empirical Studies of Firms & Markets eJournal","author":"Elsaify M.","year":"2020","unstructured":"M. Elsaify and S. Hasan . Some data on the market for data. IO: Empirical Studies of Firms & Markets eJournal , 2020 . M. Elsaify and S. Hasan. Some data on the market for data. IO: Empirical Studies of Firms & Markets eJournal, 2020."},{"key":"e_1_2_1_30_1","volume-title":"Improving fairness for data valuation in federated learning. CoRR, abs\/2109.09046","author":"Fan Z.","year":"2021","unstructured":"Z. Fan , H. Fang , Z. Zhou , J. Pei , M. P. Friedlander , C. Liu , and Y. Zhang . Improving fairness for data valuation in federated learning. CoRR, abs\/2109.09046 , 2021 . Z. Fan, H. Fang, Z. Zhou, J. Pei, M. P. Friedlander, C. Liu, and Y. Zhang. Improving fairness for data valuation in federated learning. CoRR, abs\/2109.09046, 2021."},{"key":"e_1_2_1_31_1","volume-title":"SIGMOD","author":"Fernandez R. C.","year":"2022","unstructured":"R. C. Fernandez . Protecting data markets from strategic buyers . SIGMOD , 2022 . R. C. Fernandez. Protecting data markets from strategic buyers. SIGMOD, 2022."},{"key":"e_1_2_1_32_1","volume-title":"The data station: Combining data, compute, and market forces","author":"Fernandez R. C.","year":"2020","unstructured":"R. C. Fernandez , K. Chard , B. Blaiszik , S. Krishnan , A. Elmore , Z. Obermeyer , J. Risley , S. Mullainathan , M. Franklin , and I. Foster . The data station: Combining data, compute, and market forces , 2020 . R. C. Fernandez, K. Chard, B. Blaiszik, S. Krishnan, A. Elmore, Z. Obermeyer, J. Risley, S. Mullainathan, M. Franklin, and I. Foster. The data station: Combining data, compute, and market forces, 2020."},{"key":"e_1_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.14778\/3407790.3407800"},{"key":"e_1_2_1_34_1","volume-title":"Data shapley: Equitable valuation of data for machine learning","author":"Ghorbani A.","year":"2019","unstructured":"A. Ghorbani and J. Zou . Data shapley: Equitable valuation of data for machine learning , 2019 . A. Ghorbani and J. Zou. Data shapley: Equitable valuation of data for machine learning, 2019."},{"key":"e_1_2_1_35_1","volume-title":"Envy-free auctions for digital goods. 09","author":"Goldberg A.","year":"2003","unstructured":"A. Goldberg and J. Hartline . Envy-free auctions for digital goods. 09 2003 . A. Goldberg and J. Hartline. Envy-free auctions for digital goods. 09 2003."},{"key":"e_1_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44676-1_35"},{"key":"e_1_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.5555\/365411.365768"},{"key":"e_1_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1080\/14786011003634415"},{"key":"e_1_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.14778\/3342263.3342637"},{"key":"e_1_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/2770870"},{"key":"e_1_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1093\/icc\/dtaa002"},{"key":"e_1_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/2691190.2691191"},{"key":"e_1_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.14778\/3447689.3447700"},{"key":"e_1_2_1_44_1","first-page":"129","volume-title":"International workshop on business intelligence for the real-time enterprise","author":"Muschalle A.","year":"2012","unstructured":"A. Muschalle , F. Stahl , A. L\u00f6ser , and G. Vossen . Pricing approaches for data markets . In International workshop on business intelligence for the real-time enterprise , pages 129 -- 144 . Springer , 2012 . A. Muschalle, F. Stahl, A. L\u00f6ser, and G. Vossen. Pricing approaches for data markets. In International workshop on business intelligence for the real-time enterprise, pages 129--144. Springer, 2012."},{"key":"e_1_2_1_45_1","volume-title":"Jan","year":"2021","unstructured":"Nielsen. Nielsen marketing cloud: Real science. real results ., Jan 2021 . Nielsen. Nielsen marketing cloud: Real science. real results., Jan 2021."},{"key":"e_1_2_1_46_1","volume-title":"State of California Department of Justice","author":"S.","year":"2021","unstructured":"S. of California Department of Justice. Data broker registry, https:\/\/oag.ca.gov\/data-brokers . State of California Department of Justice , Jan 2021 . S. of California Department of Justice. Data broker registry, https:\/\/oag.ca.gov\/data-brokers. State of California Department of Justice, Jan 2021."},{"key":"e_1_2_1_47_1","volume-title":"Jan","author":"V.","year":"2021","unstructured":"V. S. of State. Data brokers , Jan 2021 . V. S. of State. Data brokers, Jan 2021."},{"key":"e_1_2_1_48_1","article-title":"A survey on data pricing: from economics to data science","author":"Pei J.","year":"2020","unstructured":"J. Pei . A survey on data pricing: from economics to data science . IEEE Transactions on Knowledge and Data Engineering, pages 1--1 , 2020 . J. Pei. A survey on data pricing: from economics to data science. IEEE Transactions on Knowledge and Data Engineering, pages 1--1, 2020.","journal-title":"IEEE Transactions on Knowledge and Data Engineering, pages 1--1"},{"key":"e_1_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1468-0297.2007.02121.x"},{"key":"e_1_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/2481528.2481532"},{"key":"e_1_2_1_51_1","unstructured":"Snowflake data marketplace. https: \/\/www.snowflake.com\/data-marketplace\/. S  Snowflake data marketplace. https: \/\/www.snowflake.com\/data-marketplace\/. S"}],"container-title":["ACM SIGMOD Record"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3572751.3572757","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3572751.3572757","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:51:08Z","timestamp":1750182668000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3572751.3572757"}},"subtitle":["A Seller and Buyer Perspective"],"short-title":[],"issued":{"date-parts":[[2022,11,21]]},"references-count":51,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2022,11,21]]}},"alternative-id":["10.1145\/3572751.3572757"],"URL":"https:\/\/doi.org\/10.1145\/3572751.3572757","relation":{},"ISSN":["0163-5808"],"issn-type":[{"value":"0163-5808","type":"print"}],"subject":[],"published":{"date-parts":[[2022,11,21]]},"assertion":[{"value":"2022-11-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}