Datafication Research (1994–2023): Three Decades of Evolving Methodology in Data Science.
This study maps the evolution of research themes on datafication, analyzing trends, key authors, interdisciplinary collaborations, and emerging topics from 1994 to 2023. The analysis reveals a notable increase in publication volume, particularly from 2014 onwards, reflecting advancements in digital...
| Publicado en: | Topoi: An International Review of Philosophy Vol. 44; no. 4; pp. 1049 - 1071 |
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| Formato: | Artículo |
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Springer Nature
Oct2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=188515354&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 188515354 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 01677411 NM2 jtl: Topoi: An International Review of Philosophy issn: 01677411 maglogo: N pubinfo: dt: Oct2025 vid: 44 iid: 4 pid: 237 pub: Springer Nature artinfo: ui: 188515354 10.1007/s11245-024-10145-5 ppf: 1049 ppct: 22 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.1MB tig: atl: Datafication Research (1994–2023): Three Decades of Evolving Methodology in Data Science. aug: au: Nwagwu, Williams Ezinwa affil: https://ror.org/03wx2rr30 Department of Data and Information Science, University of Ibadan, 6 Benue Rd, Ibadan, Nigeria https://ror.org/048cwvf49 Department of Information Science, University of South Africa, Pretoria, South Africa su: Data science Interdisciplinary research Digital technology Ethical problems Data management Research methodology Digital divide sug: subj: Data science Interdisciplinary research Digital technology Ethical problems Data management Research methodology Digital divide keyword: Artificial intelligence Datafication Datafication and social transformation Information and Computing Sciences Artificial Intelligence and Image Processing Methodology Visualisation ab: This study maps the evolution of research themes on datafication, analyzing trends, key authors, interdisciplinary collaborations, and emerging topics from 1994 to 2023. The analysis reveals a notable increase in publication volume, particularly from 2014 onwards, reflecting advancements in digital technologies and heightened interest in data-driven research. A significant surge occurred during the COVID-19 pandemic, with 26.10% of total publications in 2022 and 30.52% in 2023 alone. Thematic clusters identified through keyword mapping include Social Media and Privacy, Artificial Intelligence and Machine Learning, Human Dimensions, and Infrastructure and Trust, highlighting diverse research foci. Emerging discussions on data justice and inequality reflect growing attention to the ethical and socio-political implications of datafication. The study also examines the types of documents and subject areas, revealing the dominance of peer-reviewed journal articles (71.41%) and a strong representation of social sciences (46.93%), computer science (14.75%), and arts and humanities (11.57%). Interdisciplinary connections underscore the broad impact of datafication across technology, healthcare, education, and media studies. This research offers insights into the dynamic nature of datafication, pointing to the need for further interdisciplinary collaboration, especially in addressing societal and ethical concerns such as data governance and digital inequality. Future research directions should focus on the human dimensions of datafication, data literacy, and the development of robust data governance frameworks to mitigate potential inequalities and power imbalances in a rapidly data-driven world. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Topoi: An International Review of Philosophy is a copyright of Springer, 2025. All Rights Reserved. item: Topoi: An International Review of Philosophy holder: Springer Nature dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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