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(2022) 9:48 Ye et al. Journal of Big Data https://doi.org/10.1186/s40537022006044Open AccessRESEARCHExploring the form of big data products and the supporting systems Yazhen Ye1,2* , Yao Zhang1 and Yangyong Zhu1,2*Correspondence: yeyazhen@fudan.edu.cn 1 Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai, China Full list of author information is available at the end of the articleAbstract There have been studies and practices about forms and...
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The Journal of Big Data is a scientific publication that focuses on the study, application, and implications of big data analytics across various fields. It serves as a platform for researchers to publish their findings related to big data technologies and methodologies.
Researchers, data scientists, and practitioners in fields involving big data are typically the ones who file contributions to the Journal of Big Data. This includes academics, industry professionals, and organizations that produce or analyze large data sets.
To contribute to the Journal of Big Data, authors typically need to prepare a manuscript according to the journal's submission guidelines, which include formatting, citation style, and specific sections such as abstract, introduction, methodology, results, and discussion.
The purpose of the Journal of Big Data is to disseminate knowledge and research findings related to big data analytics, foster collaboration among researchers, and advance understanding of how big data can be leveraged for various applications.
Contributors to the Journal of Big Data are generally required to provide detailed information including the research question, methodology used, data sources, findings, and conclusions, as well as any relevant literature citation.
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