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New dataset aims to standardize data pricing in marketplaces

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced DaDaDa, a new dataset designed to aid in the pricing of data products within data marketplaces. The dataset comprises metadata for over 16,000 data products sourced from nine major global marketplaces. DaDaDa aims to overcome the challenges in data pricing, which traditional economic methods struggle to address due to data's unique properties like near-zero replication costs and unpredictable revenue. By enabling the training of pricing models, DaDaDa can establish price benchmarks and also assist in data product classification and retrieval. AI

IMPACT Could lead to more standardized and efficient data markets, benefiting AI development.

RANK_REASON The cluster is about a new academic dataset and paper released on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New dataset aims to standardize data pricing in marketplaces

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The cluster is about a new academic dataset and paper released on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Qiheng Sun, Hongwei Zhang, Junxu Liu, Xiaokai Mao, Jinfei Liu, Kui Ren, Haibo Hu ·

    DaDaDa: A Dataset for Data Pricing in Data Marketplaces

    arXiv:2607.08785v1 Announce Type: cross Abstract: High-quality data drives machine learning advances across industries. Recognizing the value of data, data transactions are increasingly common, giving rise to many data marketplaces, e.g., AWS Marketplace, Databricks, and Datarade…

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