Page 118 - 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

• Data property as an economic good and Factors that facilitate the need for data trading as
commodity is not researched and not defined. economic goods include but not limited to:
Data is more than oil of the future economy. • IoT sensor networks and farms that
• There is no common vision and model of how continuously produce data that potentially
to trade data while retaining data ownership may be used by different organizations and
and sovereignty. produce secondary data that may have added

• The new data market model needs to be value;
developed and adopted. • use of personal data for advanced market
• GDPR provides common rules but there is no research and services development;
clear technology alignment to implement and • earth exploration data collected over years
enforce GDPR requirements. New ePrivacy (such as from mining or oil/gas companies)
legislation will make data management rules that can be also offered on the market;
even stricter. • existing data archives whose value may
• There is no (or limited) coordination and increase if data is traded in a more flexible
interaction between industry and academia and measurable way;
to develop new market mechanisms. • secondary data created from open data.

Technological aspects bring additional complexity Emerging data-driven technologies and economies
to the topic of building data markets. facilitate interest in making data a new economic
value (data commoditization) and consequently the
Use of modern cloud-computing and big data identification of new properties of data as economic
technologies and infrastructure is inevitable but goods.
there is no well-developed security and trust model
for storing and processing sensitive/proprietary The following properties are leveraging FAIR data
data on cloud. principles and defined as STREAM properties for

industrial and commoditized data:
4. DATA PROPERTIES AS ECONOMIC
GOODS [S] Sovereign
[T] Trusted
This section provides suggestions about defining [R] Reusable
data properties as economic goods and explains [E] Exchangeable
their importance for enabling data markets and [A] Actionable
facilitating data exchange. The section refers to [M] Measurable
related works that created background in defining
the proposed data properties. Other data properties that are important for
enabling data commoditization and allowing data
4.1 From FAIR principles to STREAM trading and exchange for goods include: quality,
properties value, auditability/traceability, branding,
authenticity, as well as the original FAI(R)
Initially proposed by the research community, the properties findability, accessibility, interoperability.
FAIR (Findable, Accessible, Interoperable, Reusable) Special features that must be managed in all data
data principles [6,19] found also strong support transfer and transformation are data ownership
among industry and is currently included as a and IPR. The data property originated from its
priority topic in the Horizon 2020 EOSC (European digital form of existence defined as not-Rivalry, on
Open Science Cloud) Programme [20]. The FAIR one hand, makes data exchange (copying,
principles are complied with and extend data distribution) easy, but on the other hand, creates
governance and data management models at problems when protecting proprietary, private or
enterprises, as defined in industry standards: the sensitive data or IPR.
DAMA Data Management Body of Knowledge
(DMBOK) [21] and CMMI Data Management Below we explain why these properties are
Maturity model [22]. important for effective data trading and exchange
between data market participants along the whole
data value creation flow/process.

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