Page 116 - ITU Journal - ICT Discoveries - Volume 1, No. 2, December 2018 - Second special issue on Data for Good
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ITU JOURNAL: ICT Discoveries, Vol. 1(2), December 2018



          consistent models to make data an economic good      impact of 2.5% on the GDP in the baseline scenario,
          and enable data commoditization (i.e. transforming   which is defined by a continuation of the positive
          data  into  an  object  of  trade  and  exchange  [5]).   but moderate growth trend of the economy [7].
          Interest  to  make  best  use  of  research  data  has
          resulted in the formulation of the FAIR (Findable –   A  data-driven  economy  uses  processes  and
          Accessible  –  Interoperable  –  Reusable)  data     products/services  digitalization,  it  collects  and
          principles  [6]  which  are  fully  accepted  by  the   processes large amounts of data that include both
          international  research  community  and  widely      personal and non-personal data. For personal data,
          supported  by  industry  and  business.  However,    the  recently  enacted  GDPR  mandates  multiple
          emerging data-driven technologies and economies      measures to protect personally identifiable data, in
          facilitate interests to making data a new economic   particular informed consent [8]; this should build
          value  (data  commoditization)  and  consequently    further confidence and trust in digital technologies
          identification  of  the  new  properties  of  data  as   and build trusted environments for data exchange
          economic  goods.  This  paper  leverages  FAIR       via the future data market [9]. In fact, research has
          principles  to  define  the  proposed  STREAM  data   shown that people tend to share more data when
          properties  for  industrial  and  commoditized  data:   they trust the companies processing the data. The
          sovereign,   trusted,   reusable,   exchangeable,    data  economy  tends  to  involve  the  maximum
          actionable, and measurable. Other data properties    possible amount of data that may be produced by
          important to enable workable/actionable business     multiple sources, so creating a trusted environment
          and  operational  models  include  data  ownership,   for  data  exchange  and  trading  is  a  key  enabling
          data  quality,  data  value,  privacy,  integrity,  and   factor   for   data  markets   and   data-driven
          auditability.                                        technologies.  Data  quality  and  veracity  are
                                                               important  properties  of  data  for  data-driven
          This paper refers to past and ongoing discussions to   applications.
          define  data  as  economic  goods  and  market
          mechanisms  that  can  be  applied  to  data,  such  as   2.1  Data markets as enabling mechanism for
          data  markets,  data  exchange,  and  industrial  data     data economy
          space.
                                                               The  establishment  of  the  Open  Data  Market  as  a
          The remainder of the paper is organized as follows.   necessary stage in making  a digital  single  market
          Section  2  analyses  the  emerging  data-driven     (DSM) in Europe a reality and working to facilitate
          economy and identifies data markets as important     the digital transformation of the European economy
          driving  forces.  Section  3  discusses  gaps  and   to embrace new trends related to Industry 4.0 [10]
          challenges on the adoption of data markets. Section   and  data-driven  technologies.  Data  markets  are
          4 introduces the proposed STREAM data properties     recognized as a priority topic in the Horizon 2020
          and explain their importance in the context of data   Work Programme 2018-2020 [11]. Currently, data
          markets. Section 5 analyses data market concepts     exchange is limited to open data (including social
          and  defines  the  main  functional  components  and   media data, city data, governmental data etc.) while
          mechanisms required to enable open data markets      customer  activity  data,  personal  data,  business
          and data exchange. Finally, the conclusion section   operational  data  and  industrial  data  that  has  a
          provides  a  summary  and  invites  for  future      strong potential of bringing global optimization to
          discussion.                                          multiple human/social activities and resources use,
                                                               still  remain  in  proprietary/private  custody  by
          2.   DATA ECONOMY AND DATA MARKETS                   companies. This  brings unfair benefits to  big
                                                               network(ed)  and  technology  companies  that  all
          The  European  data  economy  is  growing  at  a  fast   tend to create their own full set of data that they
          pace  and  will  continue  to  do  so  in  the  upcoming   collect from their business and operational network.
          years. The overall value of the data economy grew    Data markets [11] and data exchange [12] have the
          from €247 billion in 2013 to almost reaching €300    potential  to  bring  benefit  for  facilitating  business
          billion in 2016. According to the  estimates of  the   activity,   social   creativity   and   technology
          European Data Market study, the value of the data    advancement,  but  current  infrastructure,  data
          economy  in  2016  was  worth  nearly  2%  of  the   protection, legal conditions and regulations are not
          European  GDP.  By  2020,  the  data  economy  is
          expected to increase to €430 billion with an overall





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