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Evaluation of Open Source, Open Data Sharing, and Data Anonymization Concepts in the Development of the Metaverse

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Metaverse

Part of the book series: Studies in Big Data ((SBD,volume 133))

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Abstract

As the Metaverse concept becomes widespread in our lives, people are expected to be included in an artificial physical environment, and a new reality phenomenon will emerge in the virtual universe and the existing universe. In this context, the Metaverse concept is an abstract concept used to describe a digital environment to influence people's physical world and access its content. The information to be included in the virtual universe will be formed by processing the data obtained from individuals, and this situation is expected to reveal many paradigm shifts, especially in the concept of data. Compared to the data in today's social media usage, the Metaverse will be a greater power in analyzing human behavior, since the data on the Metaverse contains a deeper and wider range of data sources than open sources because participation in the Metaverse system involves the collection of unprecedented volumes and types of personal data. Along with the virtual universe, many situations such as storing sensitive biometric and physiological data and transferring virtual payments between platforms, will increase the possibility of malware attacks and data breaches, and data security policies will be reassessed. For this reason, in parallel with the privacy concerns that will increase with the spread of the Metaverse concept, it is expected that data anonymization will become more important and the open data policy of companies that manage the Metaverse will be questioned. Within the scope of all these reasons, in this section, it is aimed to examine the changes caused by the Metaverse concept, which has revolutionized information technologies today, where data is the greatest power in accessing information, in terms of open source, open data sharing, and data anonymization.

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Authors and Affiliations

  1. Gendarmerie General Command, Ankara, Türkiye

    Emre Cihan Ates

  2. Department of Computer Engineering, Ankara University, Ankara, Türkiye

    Erkan Bostanci & Mehmet Serdar Guzel

Authors
  1. Emre Cihan Ates
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  2. Erkan Bostanci
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  3. Mehmet Serdar Guzel
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Correspondence to Emre Cihan Ates .

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Editors and Affiliations

  1. Ankara University, Ankara, Türkiye

    Fatih Sinan Esen

  2. Endicott College of International Studies, Woosong University, Daejeon, Korea (Republic of)

    Hasan Tinmaz

  3. College of Engineering Technology Management (ETM), Oregon Institute of Technology (Oregon Tech), Oregon, OR, USA

    Madhusudan Singh

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Ates, E.C., Bostanci, E., Guzel, M.S. (2023). Evaluation of Open Source, Open Data Sharing, and Data Anonymization Concepts in the Development of the Metaverse. In: Esen, F.S., Tinmaz, H., Singh, M. (eds) Metaverse. Studies in Big Data, vol 133. Springer, Singapore. https://doi.org/10.1007/978-981-99-4641-9_6

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