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Daegu Gyeongbuk Institute of Science&Technology

Research

Research Center for Extreme Exploitation of Dark Data

Harnessing the full potential of the world's dark data. Research Center for Extreme Exploitation of Dark Data

Given the substantial opportunity costs, storage costs, and energy costs incurred at a national level due to "dark data," which encompasses data that remains uncollected, unindexed, or unanalyzed, the research center aims to address national dark data issues by researching and developing next-generation information platform foundational technologies that can maximize the utilization of dark data throughout its collection, storage, management, and processing stages.

Dark Data : Refers to all data that remains uncollected, undiscovered, or unanalyzed, accounting for over 90% of the world's data.

Research Center for Extreme Exploitation of Dark Data
Research Goals
  • Development of Key Technological Elements for Extreme Exploitation of Dark Data:
    • Research and development of core technologies essential for extreme utilization of dark data.
    • Development of Extreme Exploitation of Dark Data (EED) platform technology.
    • Application of EED platform technology to large-scale applications such as national research data platforms.
Major Research Fields & Contents
  • Decentralized and cost-effective high-capacity data storage technology.
  • Data deduplication and compression storage technology for dark data.
  • Automatic extraction technology for metadata.
  • Blockchain-based data history sharing technology.
  • Search and recommendation technology based on data history and metadata.
  • High-capacity, high-speed, and cost-effective data analysis processing technology.
  • Tensor technology for heterogeneous data analysis.
  • Data error correction technology.
  • Edge computing-based data sharing and blockchain acceleration technology.
  • Performance improvement and energy saving technology for research data cloud systems.
Director

Sungjin Lee

Tel

+82-53-785-6313

E-mail

sungjin.lee@dgist.ac.kr