Big Data Campus

Big Data Campus 570 380 WeGO


Implemented in 2016

Project Duration: Indefinite

Funding Source: Government

Big Data Campus is an offline space that allows stakeholders from the public and private sectors and academia to access data sets, public and private, open and proprietary, in a controlled setting. It is aimed at providing advanced analytical technologies which enable cross-sectoral analysis on urban solutions.By categorizing and listing 4,000 raw data collected from the public and private sectors into nine categories, the city’s Big Data Campus provides a list of data to citizens in a easy and approachable way.


  • Data is anonymized and analyzed over Virtual Desktop Interface (VDI).
  • The program was made to comply with existing legislation, including privacy legislation, ensuring that no modification of laws would be necessary.
  • Civic groups and Seoul Metropolitan Government work together on campus to propose policy suggestions and ways to solve social problems.
  • The Big Data Campus provides a variety of online and offline courses on big data to enhance the awareness on bigdata among ordinary citizens.
  • It provides various kinds of database and statistical analysis solutions.


  • Since its implementation until 2019, 393 analyses of data have already occurred by users from academia, NGOs, and individuals.
  • Seoul Metropolitan Government deems this amount to be a success, and expects numbers to steadily increase, as the scope of datasets will increase as well.
  • University students have also taken advantage of the data analysis education offered by the campus. Some categories analyzed so far include education, traffic, healthcare, the economy, and safety.
  • In future expansions to the project, the city also plans to utilize the campus for human resource development in training professional data analysts.


Seoul Big Data Campus (Korean language)


YEAR Number of Appointments per year
2011-2012 2.3 million
2013 33.5 million
2014 56.9 million
2015 63 million
2016 63.4 million

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