1. Big Data in Oncology Nursing Research: State of the Science
- Author
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Harris, Carolyn S, Pozzar, Rachel A, Conley, Yvette, Eicher, Manuela, Hammer, Marilyn J, Kober, Kord M, Miaskowski, Christine, and Colomer-Lahiguera, Sara
- Subjects
Health Services and Systems ,Nursing ,Health Sciences ,Data Science ,Networking and Information Technology R&D (NITRD) ,Cancer ,Clinical Research ,Humans ,Big Data ,Medical Oncology ,Nursing Research ,Oncology Nursing ,Research Personnel ,Big data ,Data science ,Malignant neoplasms ,Nursing research ,Oncology nursing ,Oncology and Carcinogenesis ,Oncology and carcinogenesis - Abstract
ObjectiveTo review the state of oncology nursing science as it pertains to big data. The authors aim to define and characterize big data, describe key considerations for accessing and analyzing big data, provide examples of analyses of big data in oncology nursing science, and highlight ethical considerations related to the collection and analysis of big data.Data sourcesPeer-reviewed articles published by investigators specializing in oncology, nursing, and related disciplines.ConclusionBig data is defined as data that are high in volume, velocity, and variety. To date, oncology nurse scientists have used big data to predict patient outcomes from clinician notes, identify distinct symptom phenotypes, and identify predictors of chemotherapy toxicity, among other applications. Although the emergence of big data and advances in computational methods provide new and exciting opportunities to advance oncology nursing science, several challenges are associated with accessing and using big data. Data security, research participant privacy, and the underrepresentation of minoritized individuals in big data are important concerns.Implications for nursing practiceWith their unique focus on the interplay between the whole person, the environment, and health, nurses bring an indispensable perspective to the interpretation and application of big data research findings. Given the increasing ubiquity of passive data collection, all nurses should be taught the definition, characteristics, applications, and limitations of big data. Nurses who are trained in big data and advanced computational methods will be poised to contribute to guidelines and policies that preserve the rights of human research participants.
- Published
- 2023