Big Data Research (BDR)

Big Data Research is an international, peer-reviewed scholarly journal dedicated to the theory, methodology, and application of Big Data technologies and analytics. Since its launch in 2014, the journal has provided a forum for researchers and practitioners to disseminate innovative work addressing the conceptual foundations and practical challenges of data-intensive systems. The journal covers a wide spectrum of topics — including scalable and distributed data storage and processing, advanced big data analytics, machine and deep learning for large datasets, knowledge discovery, data mining, data integration, data visualization, and applications of big data in domains such as healthcare, finance, smart cities, and social networks. Big Data Research emphasizes multidisciplinary research that bridges computation, analytics, system design, and decision-making based on massive datasets, making it relevant to computer science, information systems, management science, and engineering communities. As a quarterly publication, it seeks high-quality research contributions that push the boundaries of understanding big data problems and offer insights into scalable solutions and real-world impacts. The journal is indexed in major bibliographic databases and has achieved Q1/Q2 rankings in categories including information systems and computer science, reflecting its influence and scientific relevance.

Big Data Research (BDR) is :-

• International, Peer-Reviewed, Open Access, Refereed, Information Systems and Management, Computer Science Applications, Information Systems, Management Information Systems, data mining, data integration, data visualization, making it relevant to computer science, information systems, management science, engineering communities , Online or Print , Quarterly Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 2214-5796, E-ISSN: 2214-580X, Established: 2014, Impact Factor: 4.2
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE