Department of Communication Sciences, Faculty of Communication, Marmara University, Göztepe, Kadıköy, İstanbul, Turkey.
OMICS. 2022 Nov;26(11):589-593. doi: 10.1089/omi.2022.0129.
Big data and data deluge are topics that are well known in the field of systems science. Digital transformation of big data and omics fields is also underway at present. These changes are impacting life sciences broadly, and high-throughput omics inquiries specifically. On the other hand, digital transformation also calls for rethinking citizenship and moving toward critically informed digital citizenship. Past approaches to digital citizenship have tended to frame the digital health issues narrowly, around technocracy, digital literacy, and technical competence in deployment and use of digital technologies. However, digital citizenship also calls for questioning the means and ends of digital transformation, the frames in which knowledge is produced in the current era. In this context, Industry 4.0 has been one of the innovation frameworks for automation through big data, and embedded sensors connected by wireless communication. Industry 4.0 and the attendant "smart" technologies relate to various automation approaches deployed as part of the public health responses to the COVID-19 pandemic as well. This article argues that there is a growing need to steer digital transformation toward critically informed digital citizenship, so that the provenance of digital data and knowledge is held to account from scientific design to implementation science, whether they concern academic or Industry 4.0 paradigms of innovation. There are enormous potentials and expectations from digital transformation in an era of COVID-19 and digital health. For this potential to materialize in ways that are efficient, democratic, and socially just, critical digital citizenship offers new ways forward. Systems science scholarship stands to benefit from a broadening of the focus on high-throughput omics technologies to a realm of critical digital citizenship, so the digital health innovations are well situated in their societal and political contexts.
大数据和数据泛滥是系统科学领域众所周知的话题。目前，大数据和组学领域的数字化转型也正在进行中。这些变化正在广泛影响生命科学，特别是高通量组学研究。另一方面，数字化转型也要求重新思考公民身份，并朝着批判性知情的数字公民身份迈进。过去的数字公民身份方法往往将数字健康问题狭隘地框定为技术统治、数字素养以及在部署和使用数字技术方面的技术能力。然而，数字公民身份也要求质疑数字转型的手段和目的，以及当前时代知识产生的框架。在这种情况下，工业 4.0 一直是通过大数据和嵌入式传感器通过无线通信实现自动化的创新框架之一。工业 4.0 和随之而来的“智能”技术也与 COVID-19 大流行期间公共卫生应对措施中部署的各种自动化方法有关。本文认为，越来越需要引导数字转型朝着批判性知情的数字公民身份发展，以便从科学设计到实施科学，对数字数据和知识的来源进行问责，无论它们涉及学术还是工业 4.0 创新范式。在 COVID-19 和数字健康时代，数字转型带来了巨大的潜力和期望。为了使这种潜力以高效、民主和社会公正的方式实现，批判性数字公民身份提供了新的前进道路。系统科学研究从关注高通量组学技术扩展到批判性数字公民身份领域，将从中受益，因此数字健康创新在其社会和政治背景下处于有利地位。
