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The concept of Datability Science

Datability is all about the ability to use large volumes of data Sustainably and Responsibly.

[CeBIt 2014, held in Hannover, Germany]

Datability is all about the ability to use large volumes of data Sustainably and Responsibly. [CeBIt 2014, held in Hannover, Germany]
  • Sustainable
    Preparing resources for continuous data handling
    Establishing data management and governance standards
    Engineering security measures
  • Responsible
    Addressing social/environmental issues (smart city, healthcare, energy utilization, economic activities, etc)
    Protecting privacy / sensitive information
  • Importance of an interdisciplinary approach
    to the aggregation, analysis and utilization of data
  • Formalization of more sophisticated data handling:
    Datability Science
  • Institute for Datability Science
    (Est. April 2016)
  • Encouragement of inter-disciplinary research projects,
    spanning multiple divisions of Osaka University
  • Cultivation of datability scientists and engineers

Missions of Datability Science

  1. Accelerating data-driven research projects
    Researcher matching
    Designing research plans utilizing the insights of data science
  2. Standardization and databases ready for secondary use
    Anonymized "opt-in" data collection
    • Viewing the Osaka University campus as a smart city, assembly of crowd behavior data from thousands of extras, lifelog data from staff participants, etc.
    • Databases of biological/medical data linked with clinical data
  3. Practice-oriented human resource development
    OJT featuring hands-on programs with genuine tasks
    Comprehensive training programs, ranging from basic to advanced, through a combination of lectures and OJT
    Individually-tailored education programs

Researcher matching

To encourage data-driven research projects, our planning office will match up researchers from the Datability Core (Statistical Mathematics, Intelligence Science, Information Systems, Social Science, etc.) with researchers in other existing university divisions, such as (Arts, Humanity, Social Sciences, Medicine, Pharmacy, Dentistry, Engineering, and Science). By building multi-disciplinary teams, research plans can be developed which utilize the insights and expert knowledge afforded by data science specialists.

As an example, researchers in the Osaka University Graduate School of Medicine might have a stack of research data and a set of demands, which are then brought to Datability Core researchers specializing in Mathematical Statistics, who can make proposals regarding possible approaches that can be taken. In this manner, researchers of diverse backgrounds can collaboratively pursue new insights.

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