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Making Open Data more Personal Through a Social Value Perspective: a Methodological Approach

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Abstract

In this paper, we address the problem of assessing the social value of open data. While the number of open data initiatives increases and many data sets are currently available to lay people, common citizens and end users, a still limited number of studies specifically address how to improve open data understandability, their usability by common users and the measurability of their value in terms of concrete outcomes and benefits for the intended communities and the individual who appropriate those data, to make them more personal and hence more valuable. Our goal is to contribute to the success of open data initiatives by defining a methodology by which to assess their perceived social value. In this paper, we present the conceptual content of the methodology, that is its main concepts and logic structure, and discuss it by means of an empirical user study in which we applied it to real-life open data sets and involving a large sample of prospective consumers of those open data. In particular, we focus on the health care domain in order to improve the welfare of the citizens that need health care services and use the Web to look for relevant information to address those situated needs. Among our main findings, we discovered a clear preference for visual information formats by women with respect to men, and a clear preference for hospitals ranking by disease for senior people with respect to younger.

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Notes

  1. More precisely, open data are those data that “anyone can freely access, use, modify, and share for any purpose”, that is provided either in the public domain or under an open license - see http://opendefinition.org/

  2. For instance, the NASA could want to make those documents openly available to increase the amount of donations to the agency, so as to exert use value; conversely, the taxpayer would perceive symbolic value.

  3. Merriam-Webster Dictionary, definition of Social. Accessed on the 10th of December 2017, https://www.merriam-webster.com/dictionary/social

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Authors and Affiliations

  1. Università degli Studi di Milano-Bicocca, Viale Sarca 336, Milano, Italy

    Federico Cabitza, Angela Locoro & Carlo Batini

  2. IRCCS Istituto Ortopedico Galeazzi, Milano, Italy

    Federico Cabitza

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  1. Federico Cabitza
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  2. Angela Locoro
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  3. Carlo Batini
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Correspondence to Federico Cabitza.

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Cabitza, F., Locoro, A. & Batini, C. Making Open Data more Personal Through a Social Value Perspective: a Methodological Approach. Inf Syst Front 22, 131–148 (2020). https://doi.org/10.1007/s10796-018-9854-7

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