Page 121 - ITU Journal - ICT Discoveries - Volume 1, No. 2, December 2018 - Second special issue on Data for Good

ITU JOURNAL: ICT Discoveries, Vol. 1(2), December 2018

• capable of handling big data V-properties: 5.3 Data market and data exchange
volume, velocity, variety, and addressing data functionality groups
variability, veracity, value [1, 3];
• cloud based, elastic; Data markets and their associated data exchanges
include technological, trust management, legal,
• customer-centric;
commercial and operational aspects, as described
• automated, smart; below.
• adaptable, powered by Agile and DevOps 5.3.1 Technical infrastructure
continuous improvement/deployment model
[32]; Infrastructure is a necessary component of any
• combining data and algorithms (as part of service architecture. The following are essential
containerized applications and data); components of the data market infrastructure:
• collaborative; • architecture and conceptual model of the data
• governed; market space, including technological,
organizational, legal and commercial aspects;
• secure, trusted.
• shared/federated infrastructure to access
5.2 Characteristics of emerging data markets and operate the data market;
• federated hybrid cloud based big data
Data markets should be able to support all major infrastructure to support data storage,
properties of big Data from/for all application processing and exchange in a secure and
domains, allow data exchange and integration at trusted way;
different stages while preserving data provenance • DataHubs support for generic services for
and auditability. Below is non-exhaustive list of data data suppliers such as caching, streaming,
market properties leveraging big data architecture containerized delivery;
and powered by cloud technologies:
• support for on-demand connectivity and
• supporting heterogeneous data exchange at bandwidth provisioning between data
different processing stages; handling services/hosts in the data lifecycle;
• cloud powered/integrated; • gateway based and computational
• customer-centric; enforcement of market policies and rules.
• automated, smart; 5.3.2 Rules for trust
• regional/sectoral specialized;
• collaborative; Rules for trust provide the basis for trusted
relations between data market participants and
• governed; reducing contractual and operational risk between
• secure, trusted; participants. This includes the following rules,
• auditable; policies, services:

• transparent; • policy framework and platform bound
mechanisms to participate in and cooperate
• enabling data commoditization and operating with parties in the data market;
with monetized data values.
• models for agreements between parties in the
The listed above properties should provide a data market and end users, with engineering
necessary framework for definition of the open data for scalable (software) contracts and
markets architecture, at the same time they will supporting architecture;
require a better definition of data as economic • compliance assessment tools of the big data
tradeable goods. infrastructure to enable trusted interaction
between market actors;

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