Data mining is a relatively new way of turning data to knowledge. With the fast development of networking, data storage, and the data collection capacity, Big Data are now rapidly expanding in all science and engineering domains, including physical, biological and biomedical sciences. 7.2 CiteScore. The CODATA Data Science Journal is a peer-reviewed, open access, electronic journal, publishing papers on the management, dissemination, use and reuse of research data and databases across all research domains, including science, technology, the humanities and the arts. A full statement of our. Impact Factor: * 3.644 *2019 Journal Citation Reports (Clarivate, 2020) The leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. If you have access to a journal via a society or association membership, please browse to your society journal, select an article to view, and follow the instructions in this box. 1. The variety in data sources, research topics, and methodological approaches in big data belies a one-size-fits-all checklist; as a result, these rules are less specific than some might hope. Journal of Big Data ⦠The pandemic may have provided the medical community with a new challenge for which to develop innovative strategies for health care (Rabbani, Mustafa, & Mahtab, 2020). Many open research problems are available in big data and good solutions also been proposed by the researchers even though there is a need for development of many new techniques and algorithms for big data analysis in order to get optimal solutions. However, simplifying the data management structure in order to generate optimum insights from large amounts of data is an ongoing management concern. Much research was carried out by various researchers on big data and its trends [6], [7], [8]. Big Data and Cognitive Computing (ISSN 2504-2289) is an international, scientific, peer-reviewed, open access journal of big data and cognitive computing published quarterly online by MDPI.. Open Access âfree for readers, with article processing charges (APC) paid by authors or their institutions. Big Data & Society (BD&S) is an open access, peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities and computing and their intersections with the arts and natural sciences about the implications of Big Data for societies. Read the latest articles of Big Data Research at ScienceDirect.com, Elsevierâs leading platform of peer-reviewed scholarly literature Skip to Journal menu Skip to All issues ScienceDirect Research in Big Data Sep 1, 2020 Issue 16 The pandemic, an opportunity for raising awareness of strategies in health care. Each article accepted by peer review is made freely available online immediately upon publication, is published under a Creative Commons license and will be hosted online in perpetuity. Big data is a rapidly expanding research area spanning the fields of computer science and information management, and has become a ubiquitous term in understanding and solving complex problems in different disciplinary fields such as engineering, applied mathematics, medicine, computational biology, healthcare, social networks, finance, business, government, education, transportation and telecommunications. The problems big data techniques are applied to can range from improvement in real-time transportation operations, transportation planning to near term prediction of crash risk. The journal will publish original research papers applying big data techniques to transportation problems. All articles for this journal must be submitted using our online submissions system. Sign in to set up alerts. 2, pp. Writing in the International Journal of Big Data Intelligence, a team from Italy, reiterates this point and points out that at this stage in the evolution of those rules there are now a handful of central hubs providing almost all of the information that the vast majority of the population accesses: the major search engines, such as Google and Baidu, the big social media networks, Facebook and Twitters, and a few other repositories, such as Wikipedia and their more local equivalents in Russia, China, and other parts of the world that have certain barriers to globalization [...], This journal also publishes Open Access articles, Cabell's Directory of Publishing Opportunities, Norwegian Register for Scientific Journals, Series and Publishers, Journal information in Journal of Management Information Systems: Vol. Industry and academia are interested in disseminating the ï¬ndings of big data. The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many different communities working on, and with, this topic. 388-423. The problems big data techniques are applied to can range from improvement in real-time transportation operations, transportation planning to near term prediction of crash risk. Thus, you are offered academic excellence for good price, given your research is cutting-edge. ... Khoshgoftaar TM, Richter AN, et al. Big Data and the Evolution of the Legal Ecosystem: Four Keys to Unlocking the Promise of Big Data However, it is to be noted that all data available in the form of big data are not useful for analysis or decision making process. Psychologists and computer scientists are probing the Big Data of our dreams, to analyze how our collective psyche responds to the waking world. Big Data & Society encourages authors to include a declaration of any conflicting interests and recommends you review the good practice guidelines on the SAGE Journal Author Gateway. Perhaps the prototypical form of Big Data in medical research comes from largeâscale databases of genomic, proteomic, and metabolomic data. The journal focuses on the publication of high-quality research articles, review articles, letters, and case studies regarding the innovative research ideas and applications results for big data including novel theory, algorithms, and applications. Simply starting with the assumption that all data The published journal article cannot be shared publicly, for example on ResearchGate or Academia.edu, to ensure the sustainability of peer-reviewed research in journal publications. The International Journal on Big Data (IJBD) is an open-access, peer-reviewed periodical, published biannually. easy print format (PDF), International Journal of Big Data Intelligence, The five Vs of the data landscape: volume, variety, velocity, veracity, value, Big data science and foundations, analytics, visualisation and semantics, Software and tools for big data management, Security, privacy and legal issues specific to big data, Big data economy, QoS and business models, Artificial Intelligence and scientific discovery, Software, hardware and algorithm co-design, high-performance computing, Large-scale recommendation systems and graph analysis, Algorithms, experiments, prototyping and implementation, Data-driven innovation, computational modelling and data integration, Data-intensive computing theorems and technologies, Modelling, simulation and performance evaluation, Hardware and infrastructure, green data centres/environmental-friendly perspectives, Computing, scheduling and resource management for sustainability, Complex applications in areas where massive data is generated. Committed to open access and transparent review processes, Frontiers in Big Data publishes rigorously peer-reviewed research on the cutting-edge, disruptive technological revolution of big data, through its various applications and forms. on big data [4]. The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many different communities working on, and with, this topic. (2018). Much research was carried out by various researchers on big data and its trends [6], [7], [8]. View Big Data Analytics Research Papers on Academia.edu for free. The six underâresearched areas of big data in accounting and finance are risk and security, data visualisation and predictive analytics, data management and data quality. ... Environmental Research and Policy ... Big Data Analytics for Agricultural Disaster Management; Deep learning applications and challenges in big data analytics-Najafabadi et al. Nowadays, big data has become unique and preferred research areas in the field of computer science. The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many different communities working on, and with, this topic. Submitted articles should not have been previously published or be currently under consideration for publication elsewhere. Big data research has attracted considerable academic attention. ; High Visibility: to be covered in Scopus. Abstract: Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources. Conference papers may only be submitted if the paper has been completely re-written (. However, simplifying the data management structure in order to generate optimum insights from large amounts of data is an ongoing management concern. It also aims to promote and establish an effective channel of communication between industries, government agencies, academic and research institutions and persons concerned with the complexity of big data. View aims and scope Submit your article Guide for authors. athered from the authors' experiences performing analysis of large data sets and review of the literature. The Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. Industry and academia are interested in disseminating the ï¬ndings of big data. Big Data Analytics is a multi-disciplinary open access, peer-reviewed journal, which welcomes cutting-edge articles describing original basic and applied work involving biologically-inspired computational accounts of all aspects of big data science analytics. Big Data Research. IJBDI also welcomes significant work-in-progress papers, review papers and cases studies. New types of data demand novel data management research to efficiently store, curate, retrieve, integrate, analyze and understand. BIG DATA RESEARCH, 16X; 1X; 2X; 32X; 4X; 64X; 8X; ACM; Agricultural and Biological Sciences Impact Factor: * 3.644 *2019 Journal Citation Reports (Clarivate, 2020) The leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data.