Akyüz Kaya, Goisauf Melanie, Chassang Gauthier, Kozera Łukasz, Mežinska Signe, Tzortzatou-Nanopoulou Olga, Mayrhofer Michaela Th
Department of Science and Technology Studies, University of Vienna, Universitätsstraße 7/Stiege II/6, Stock (NIG), 1010 Vienna, Austria.
BBMRI-ERIC, Graz, Austria.
Biosocieties. 2023 Mar 28:1-28. doi: 10.1057/s41292-023-00299-7.
Data practices in biomedical research often rely on standards that build on normative assumptions regarding privacy and involve 'ethics work.' In an increasingly datafied research environment, identifiability gains a new temporal and spatial dimension, especially in regard to genomic data. In this paper, we analyze how genomic identifiability is considered as a specific data issue in a recent controversial case: publication of the genome sequence of the HeLa cell line. Considering developments in the sociotechnological and data environment, such as big data, biomedical, recreational, and research uses of genomics, our analysis highlights what it means to be (re-)identifiable in the postgenomic era. By showing how the risk of genomic identifiability is not a specificity of the HeLa controversy, but rather a systematic data issue, we argue that a new conceptualization is needed. With the notion of as a sociotechnological situation, we show how past assumptions and ideas about future possibilities come together in the case of genomic identifiability. We conclude by discussing how kinship, temporality, and openness are subject to renewed negotiations along with the changing understandings and expectations of identifiability and status of genomic data.
生物医学研究中的数据实践通常依赖于基于隐私规范假设并涉及“伦理工作”的标准。在日益数据化的研究环境中,可识别性获得了新的时空维度,尤其是在基因组数据方面。在本文中,我们分析了在最近一个有争议的案例中,基因组可识别性是如何被视为一个特定的数据问题的:海拉细胞系基因组序列的发表。考虑到社会技术和数据环境的发展,如大数据、基因组学的生物医学、娱乐和研究用途,我们的分析突出了在后基因组时代可(再)识别意味着什么。通过表明基因组可识别性的风险并非海拉争议所特有,而是一个系统性的数据问题,我们认为需要一种新的概念化。借助“社会技术情境”这一概念,我们展示了过去关于未来可能性的假设和观念是如何在基因组可识别性的案例中汇聚的。我们通过讨论亲属关系、时间性和开放性如何随着对基因组数据可识别性和地位的理解与期望的变化而经历重新谈判来得出结论。