Open Data Market Architecture

and Functional Components for Trusted Data Exchange

Technical feasibility study

Yuri Demchenko, Rens van der Veldt, Wouter Los, Paola Grosso, Cees de Laat (University ofAmsterdam), Leon Gommans (Air France-KLM)
ODM Conceptual Model andOperational Scenarios
1 to 1 – individual contracts (includingintermediaries)
1 to n – data webshop providing data services tomany customers, e.g. IoT sensor data streaming;
most common Biz&Ops model for data services
subscriptionn to 1 – one data consumer collecting data frommany data sources/providers with the goal to drive
own data-based applications or provide value added
data services.
n to m – full data market mesh; can use VPDM
instance for a group of cooperating organisations

Data Market Infrastructure Components

Cloud based Data Market Infrastructure Components

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

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

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

Sovereignty: Data sovereignty allows companies, data owners toremain control over their data. It is important for business to enter thedata market with their proprietary business data
Trusted: Using data in decision making or in the processes control
requires that data is trusted and verifiable. Trust in data is achieved by
the whole process of data collection and by using verified models ofthe processes.
Reusability: Data reusability allow multiple uses of data, even if not
for original purposes data created. Data re-suability can create
multiple opportunities for data economy actors

Open Data Market Design Principles• 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

Exchangeability: Data exchangeability ensures that data can beexchanged between data producer and data consumer in general andbe used for target applications or intended purposes.

References
Actionability: Data must serve the business purposes and containnecessary information to derive actionable decisions about operations
or processes optimisation
Measurability: Data measurability is used for data valuation andexchange as economic goods, and a part of data handling on the data
infrastructure platforms.

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/wp-content/uploads/2019/03/IDS-Reference-Architecture-Model-3.0.pdf

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