Open Data Market Architecture and FunctionalComponents
Yuri Demchenko, Reggie Cushing, Wouter Los, Paola Grosso, Cees de Laat (University ofAmsterdam), Leon Gommans (Air France-KLM)
Data Market Infrastructure Components
Data Market Infrastructure to enable secure trusted
data exchange and data services delivery.
• Virtual Private Data Market (VPDM) – Virtual Data
Market infrastructure provisioned on demand fora cooperating group of the data market entities• Data Market Platform (DMP) – Cloud based
Trusted Data Market (TDM) platform to provision
on demand VPDM using Virtual Private Cloud(VPC) templates• Data Exchange(s) - the main component for Data
Market actors interaction to exchange data
• IDS – Secure Data Connectors (Industrial Data
Space Architecture compliant) to enable sovereign
end-to-end data provider and consumer
connection• Data (Intelligence) Hub – Support generic services
in data exchange, delivery, i.e. caching,containerised delivery, etc• Policy & Biz Rules Enforcement and Compliance –Private Blockchain and Smart Contracts based DMservice• SCVPE4DM (EVM) – Ethereum Virtual Machinefor Solidity Smart Contracts processing• FedAAI and VI TrustBP - Federated Access Control,
Trust Management infrastructure and Trust
Bootstrapping protocol

VPDM on-demand Provisioning Workflow

ODM Operational Scenarios
1 to 1 – individual contracts (includingintermediaries)
1 to n – data webshop providing data services
to many customers, e.g. IoT sensor datastreaming; most common Biz&Ops model fordata services subscriptionn to 1 – one data consumer collecting datafrom many data sources/providers with thegoal to drive own data-based applications orprovide value added data services.
n to m – full data market mesh; can use VPDM
instance for a group of cooperatingorganisations

STREAM Properties of Data as Economic goods[S]overeign – [T]rusted – [R]eusable – [E]xchangeable – [A]ctionable – [M]easurable

Open Data Market Design Principles

Leveraging FAIR (Findable – Accessible - Interoperable - Reusable) data principles for Data commoditisation

Sovereignty: Data sovereignty allows companies, data owners to remain
control over their data. It is important for business to enter the data market
with their proprietary business data
Trusted: Using data in decision making or in the processes control requiresthat data is trusted and verifiable. Trust in data is achieved by the wholeprocess of data collection and by using verified models of the processes.
Reusability: Data reusability allow multiple uses of data, even if not fororiginal purposes data created. Data re-suability can create multiple
opportunities for data economy actors
Exchangeability: Data exchangeability ensures that data can be exchanged
between data producer and data consumer in general and be used for target
applications or intended purposes.
Actionability: Data must serve the business purposes and contain necessaryinformation to derive actionable decisions about operations or processes
optimisations
Measurability: Data measurability is used for data valuation and exchange as
economic goods, and a part of data handling on the data infrastructure
platforms.

• Enable STREAM data properties and comply with FAIR data principles• Provide secure and trusted environment for contractual exchange of dataand data processing services while preserving Data Sovereignty• Enable data monetisation and data exchange policy enforcement• Built on well defined rules, processes and protocols, supported by open API
to enable anybody join and operate their legal business• Adopting the Industrial Data Space Association (IDSA) Architecture 2.0
References
Yuri Demchenko, Wouter Los, Cees de Laat, Data as Economic Goods: Definitions, Properties, Challenges, Enabling
Technologies for Future Data Markets, ITU Journal: ICT Discoveries, Special Issue “Data for Goods”, December 2018
RDA Interest Group on Data Economics - https://www.rd-alliance.org/group/data-economics-ig/case-statement/interestgroup-data-economics-de-charter
IG-DE mailing list - data-economics-ig@rda-groups.org
FAIR data [online] https://www.dtls.nl/fair-data/fair-data/IDS Reference Architecture Model: Industrial Data Space, Version 2.0 [online]
https://www.internationaldataspaces.org/wpcontent/uploads/2018/04/InternationalDataSpacesAssociation_ReferenzArchitecture2.0.pdf

Contact: Yuri Demchenko <y.demchenko@uva.nl>