Big Biological Data: Need for a Reorientation of the Governance Framework

Demir E.

IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB), Ottawa, Kanada, 15 - 17 Ağustos 2022, ss.279-285, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/cibcb55180.2022.9863047
  • Basıldığı Şehir: Ottawa
  • Basıldığı Ülke: Kanada
  • Sayfa Sayıları: ss.279-285
  • Ankara Üniversitesi Adresli: Hayır

Özet

Biological data (biodata) has become a buzzword for innovations in this century. With pioneering advances in machine learning techniques and artificial intelligence, biological datasets have brought about revolutionary changes in many areas, particularly in healthcare. In this process, a host of ethical and legal issues have also come to the fore. The purpose of this paper is to address the need for a reorientation of the governance framework for human biodata. Using the case of Dinerstein v. Google, this paper argues that the data governance framework must take into account and balance interests of both fostering innovation and protecting societal values.