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Ethical Issues in Social Science Research Employing Big Data.

This paper analyzes the ethics of social science research (SSR) employing big data. We begin by highlighting the research gap found on the intersection between big data ethics, SSR and research ethics. We then discuss three aspects of big data SSR which make it warrant special attention from a resea...

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Publicado en:Science & Engineering Ethics Vol. 28; no. 3; pp. 1 - 22
Autores principales: Hosseini, Mohammad, Wieczorek, Michał, Gordijn, Bert
Formato: Artículo
Publicado: Springer Nature Jun2022
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2022
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      pub: Springer Nature
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        157471825
        10.1007/s11948-022-00380-7
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        atl: Ethical Issues in Social Science Research Employing Big Data.
      aug:
        au:
          Hosseini, Mohammad
          Wieczorek, Michał
          Gordijn, Bert
        affil:
          Feinberg School of Medicine, Northwestern University, Chicago, USA
          Institute of Ethics, Dublin City University, Dublin, Ireland
      sug:
      keyword:
        Computational Social Science
        Open Science
        Research Ethics
        Research Integrity; Big Data
        Social Science
      ab: This paper analyzes the ethics of social science research (SSR) employing big data. We begin by highlighting the research gap found on the intersection between big data ethics, SSR and research ethics. We then discuss three aspects of big data SSR which make it warrant special attention from a research ethics angle: (1) the interpretative character of both SSR and big data, (2) complexities of anticipating and managing risks in publication and reuse of big data SSR, and (3) the paucity of regulatory oversight and ethical recommendations on protecting individual subjects as well as societies when conducting big data SSR. Against this backdrop, we propose using David Resnik’s research ethics framework to analyze some of the most pressing ethical issues of big data SSR. Focusing on the principles of honesty, carefulness, openness, efficiency, respect for subjects, and social responsibility, we discuss three clusters of ethical issues: those related to methodological biases and personal prejudices, those connected to risks arising from data availability and reuse, and those leading to individual and social harms. Finally, we advance considerations to observe in developing future ethical guidelines about big data SSR.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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      custom: Science & Engineering Ethics is a copyright of Springer, 2022. All Rights Reserved.
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      holder: Springer Nature
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          year: 2022
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