Modern ink-wash data flows through rights ledgers, exchange and finance toward a corporate asset

INFORMATION ASYMMETRY 38 · DATA · ASSETISATION

Can Data Become a Corporate Asset?

数据资源、数据要素、数据资产、数据产权与数据产品

Separates data resources, factors, assets, property interests, data IP and products across registration, trade, accounting, valuation, collateral and contribution.

Cross-checked against Chinese primary, industry, research and media sources · Editorial, SEO and image audit August 20, 2026 · Currency basis: the latest CFETS rate available on August 20, 2026—USD/CNY 6.7854, published August 19, 2026 · monetary amounts shown only in U.S. dollars
Topic typePlatform × regulatory-risk × infrastructure

EDITORIAL THESIS

Core proposition

  1. 01

    Data does not become an asset merely by existing or being registered; lawful control, quality, rights, repeatable benefit, measurable cost and accountability are required.

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Infographic of the concept, operating structure, constraints and Korean response for Can Data Become a Corporate Asset?
38 · Operating structure — Can Data Become a Corporate Asset?A Korean-language graphic summarizing the concept, China’s operating system, constraints and Korea’s decision question.Download high-resolution SVG

CHINA SYSTEM · OPERATING LOGIC

Read the concept through its operating structure

01

Resources, factors and assets are different states

Data resources are managed collections; factors create productive value; assets require control, expected benefit and identifiable measurement.

02

Data property interests are not a single ownership right

China explores separating holding, processing/use and product-operation interests; privacy, trade secrets, copyright, contracts and public-data duties remain.

03

Registration, listing and accounting recognition differ

Rights registrations record datasets, processing and claims; exchange listing packages a tradable product; accounting recognition separately tests control, benefit and cost.

04

Valuation, collateral and contribution require cash flow and accountability

Data valuation depends on quality, scarcity, updating, contracts, lawful scope and cost; collateral finance also relies on credit, revenue, repurchase and guarantees.

05

Korea should design data products before asset labels

Korean organisations should define customer problem, fields, quality, rights, de-identification, delivery, SLA, price and liability, then contract raw/derived data, models, resale and deletion.

Primary, industry, research and media sources

The Korean primary report cross-checks Chinese official texts with industry, research and media evidence.

01Official关于构建数据基础制度更好发挥数据要素作用的意见02Official企业数据资源相关会计处理暂行规定03Official“数据要素×”三年行动计划(2024—2026年)04Official数据产权登记工作指引(试行)
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