2018
Overview
Big Data Cancer refers to the application of large-scale data analytics, computational methods, and information management systems to oncology research, clinical practice, and related domains such as healthcare policy and patient communication. Research published in Big Data Research on this topic addresses both the technical infrastructure required to handle cancer-related datasets and the broader societal implications of big data use in oncology contexts. One strand of work examines database architectures and computing frameworks necessary for storing, processing, and analyzing the massive volumes of genomic, clinical, and imaging data generated in cancer research. Another strand explores the legal, marketing, and advertising dimensions that arise when big data intersects with cancer care, including regulatory compliance, patient privacy concerns, and ethical considerations in how cancer-related information is communicated to patients and the public. This multidisciplinary approach reflects the reality that advancing cancer outcomes through big data requires not only robust computational tools but also careful attention to the governance, ethical, and communicative challenges that accompany the collection and use of sensitive health information at scale.
Research published in this journal
2 peer-reviewed articles, ranked by relevance. Each links to its DOI.
2022
How this research is being cited
The 2 articles above have been cited 4 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.
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2024 · Özgür Yayınları eBooks
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2022 · International Journal of Social Science and Human Research
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2019 · Advances in intelligent systems and computing
A sample of recent works citing this journal's research on Big Data Cancer, linking to each citing work.