Data-Enabled Discovery and Applications

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Journal Properties
  • Number of Articles
    45
  • Abbreviation
    Data-Enabled Discov. Appl.
  • e-ISSN
    2510-1161
  • Publisher
    Springer Science and Business Media LLC
  • Indian UGC
  • DOAJ (latest)
Description
Data-Enabled Discovery and Applications (DEDA) is a multidisciplinary journal focused on showcasing the transformative power of data science across a wide range of fields. It provides a platform for researchers and practitioners to share their innovative approaches, methodologies, and applications of data analysis for solving real-world problems and driving discovery. DEDA covers diverse topics such as machine learning, big data analytics, data visualization, and data mining, with an emphasis on their application in areas like healthcare, finance, environmental science, and social sciences. It seeks to promote the development of data-driven solutions and to advance the understanding of complex systems through data analysis. The journal is indexed in major databases and targets a broad audience of researchers, data scientists, and industry professionals. As an open-access publication, DEDA ensures that valuable research is accessible to a global audience, encouraging collaboration and innovation in the rapidly evolving field of data science. DEDA welcomes submissions of original research articles, reviews, and case studies that demonstrate the power of data in enabling new discoveries and applications.