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SMALL DATA AND SUSTAINABLE DEVELOPMENT -
                         INDIVIDUALS AT THE CENTER OF DATA-DRIVEN SOCIETIES

                                                     Mamello Thinyane
                           United Nations University institute on Computing and Society, Macao SAR – China
                                                     mamello@unu.edu

                              ABSTRACT                        as in the embedding of digital infrastructures and
                                                              ‘everyware’ [8] within smart cities initiatives [9].
           At the centre of  data-driven  societies are individuals and
           end-users who not only generate data, but also benefit from   At the global level, there has been recognition of the role of
           the outcomes of the  data-driven development.  Extensive   data towards supporting the achievement of the global
           work has been  undertaken to understand and explore the   development imperatives as articulated in the 2030 Agenda
           challenges and potential impact of data, in particular Big   for Sustainable Development. The United Nations
           Data, for the private as well as the public sectors. Similarly   Sustainable  Development Goals (SDGs) resolution
           work has been undertaken within the domains of Personal   highlights, within Goal 17, technology as an explicit Means
           Informatics and life-logging, which has investigated the   of Implementation towards the achievement of the goals
           role of data, and specifically personal physical activity and   [10]. Further, the role of the indicators data within the SDG
           health data towards improving the wellbeing of individuals.   programme  has also been  well articulated [11], [12].  The
           In this research we investigate the engagement  of   focus within the social  indicators monitoring  domain has
           individuals in the use of data towards the achievement of   largely been about using data for the purposes of Planning,
           the sustainable development imperatives as articulated in   Monitoring and Evaluation at the national and sub-national
           the 2030 Agenda for Sustainable Development. The paper   levels. Extensive research  has been  undertaken exploring
           presents: the awareness levels of the  participants with   the potential for data in this regard [12]–[14]. Social
           regards to the  Sustainable  Development Goals; their   indicators monitoring in this context is typically driven by
           attitudes and perceptions around monitoring of social   the  work of the statistics community, in particular the
           indicators; key considerations associated with data   National Statistics Offices, government departments, as
           ownership, privacy and confidentiality of data, as well as   well as multilateral organizations.
           sharing of  data within the data ecosystem. The paper
           subsequently discusses how these finding could inform the   Beyond supporting the  national-level and  multi-lateral
           implementation of small data tools to support the active   stakeholders, the  use of data can be towards supporting
           engagement of individuals in data-driven societies.   individuals and community-level actors (e.g. Non-
                                                              Governmental  Organization,  and  Community-Based
               Keywords—  Small Data, Sustainable Development,   Organizations). There  has  been increasing efforts and
           Data Driven Development                            research around the  use of  data for informing individual
                                                              wellbeing  goals and imperatives. The  growing  field of
                                                              Personal Informatics, quantified-self, and lived informatics
                           1.  INTRODUCTION                   represent this interest and focus on data that is collected by
                                                              individuals for the ultimate utility that accrues towards the
                                                          st
           Data is increasingly pervasive and ubiquitous in the 21    individuals [15]. Within these domains  work has been
           century data-driven societies, and the use of data stands to   undertaken that explores data for supporting social sense-
           increase and to permeate  more societal domains.   making [16], using personal data for improving patient-
           Advancements are being seen in the  use of data, in   provider communication in the healthcare sector, and using
           particular Big Data, for supporting businesses and the   quantified-self data for cancer rehabilitation.
           corporate sector towards improved decision-making and
           effectiveness in areas such as Business Intelligence and   Mortier et al have suggested that, with the growing amount
           Analytics (BI&A)[1] as  well as  management [2], [3].   of ubiquity and pervasiveness of data, there is a need to
           Similarly the public sector use of data can be noted towards   explicitly consider Human Data Interaction (HDI),  which
           improved policy development [4], and service delivery,   they define as being constituted of three key themes and
           where “governments expect big data to enhance their ability   domains: legibility, agency and negotiability [17].
           to serve their citizens and address major national challenges   Legibility regards ensuring the comprehensibility of data
           involving the economy, health care, job creation, natural   and the associated algorithms, so that the individuals are
           disasters, and terrorism” [5]. The increasing  ubiquity of   aware of their data and the implications of its use; agency in
           data in society is  not only  seen in the increased  use  in   this context is about allowing individuals the freedom and
           organizations but also in: increased data use by individuals   capacity to act within the data ecosystems; and negotiability
           in areas such as life-logging [6], [7], associated  with the   concerns the dynamic relationships that emanate from the
           proliferation of activity trackers and mobile devices; as well   individuals’ interaction  with  the data. These three themes
                                                              provide a suitable initial  framing of the  key concerns  for




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