Ⅰ. Background and Aims of Research
1. Heading
o Construction of ‘data dam’, a key element of the great social and economic transformation
ㅇ A data hub is required for data collection and utilization
- Public and private data are the key drivers of the future industry
- It is necessary to create new values for ‘data dam’ such as data maps, data linkage and analysis services.
※ Data Dam: Collecting data, standardizing it, and sharing it againn
ㅇ Difficulty in using data to respond to large-scale social and environmental issues
- Large-scale social and environmental issues such as COVID-19, fine dust, and humidifier disinfectant occurred
- It is difficult to collect and utilize environment-related data to respond to social and environmental issues.

o Present a mid- to long-term roadmap for building a data hub to respond to social and environmental issues
ㅇ Prepare a plan to build a data hub for the digital transformation of environmental policy research
- Derivation of essential elements for building an environmental data hub through a review of major implementation cases
- Based on Institutional Data Repository (IDR), build a storage-centric data hub pilot
ㅇ Present a mid- to long-term roadmap for building an efficient data hub
- Discovering data to respond to various social and environmental issues and support data-based decision-making
- Presenting a mid- to long-term roadmap considering scattered data and utilization of various data analysis platforms

2. Research Scope and Methods
o (Pilot) After implementation, present a mid-to-long-term roadmap for future improvement
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