[Korea's Government 3.0] Construction and Commercial Distract Data at the Forefront of OGD Initiative
[Korea's Government 3.0] Construction and Commercial Distract Data at the Forefront of OGD Initiative
  • By Yeon Choul-woong (bruceyeon@koreaittimes.com)
  • 승인 2016.04.14 10:12
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This installment is focused on the opening up of highly demanded data on construction and commercial districts.

Construction data

Construction data refers to all the data created in the administrative processing of the lifecycle of a building from the design, construction and approval for use to maintenance and demolition. Construction data include important information related to individuals’ property rights (e.g. building permits, building ledger, housing project approval), it is highly relevant to the public’s housings and economic activities.

In 2013, the Ministry of Land, Infrastructure, and Transport (MOLIT) carried out a pilot project to open the online administrative system for construction (www.eais.go.kr) to the public. In 2014, the MOLIT set up a system whereby construction data can be made available to the public. In 2015, as the Open Data Strategy Council and the Ministry of the Interior (MOI) pushed for the opening up of government data first in 36 major areas, the MOLIT became the first to go for a full-scale opening up of constructinn data including original data.

Construction data (Image source: data.go.kr)

As of now, approximately 280 million datasets with 1,504 items are made available to the public in the area of construction. The opening up of construction data is projected to help cut location analysis and real estate consulting fees by 2.5 billion won annually and industrial consulting fees, related to renewable energy, by 6 billion won per year.

Among those who actively tap into the construction data are Idnstory (www.haezoom.com), a Korean company providing consultation services in the areas of solar energy solutions and services. Using building information and building energy management information, Idnstory offer a service called Haezoom which installs solar panels on a building on a virtual map and predicts how much solar power can be generated from the solar panels when users enter their home address. In other words, it calculates the profitability of the solar power system. Factoring in the building area and how much electricity you consume monthly, the service will decide what size solar energy installation best suits your needs.

Another company is BIZ-GIS (www.biz-gis.com), which offers various marketing services by capitalizing on data on building permits, illegal building ledgers and residential building permits. For instance, BIZ-GIS offers a service that analyzes sales patterns for each store and measures the growth potential of each area by visualizing information on areas densely packed with old buildings, the occurrence of past disasters and weather information.

The MOLIT is set to move beyond simply providing information on building permits. The ministry is planning to build a ‘building lifecycle management system’ by 2018 by combining building information with detailed information on fire fighting, electricity, gas, facilities and energy.

The MOLIT is also exploring ways to connect other institutions’ open government data (e.g. data on education, national land, fiscal and financial matters, social welfare, food and health) to construction data on a building by building basis.

Use commercial district data when you start your own business in your neighborhood.

The Small Enterprise and Market Service, a division of the Small and Medium Business Administration in South Korea (SMBA), has managed data on commercial districts and business establishments to provide commercial district analysis services.

Commercial data (Image: data.go.kr)

According to the Korea Small Business Institute (KOSBI)’s 2016 data, 40.2 percent of startups folded within the first year. 59.8 percent survived their first year, 46.3 their second year and 30.9 percent their third year. Thus, the actual startup success rate is only 30 percent. On top of that, small businesses fold with an average 15.9 million won in debt.

Thus, SMBA started to make improvements to two types of commercial district data under the Data Big Bang project (carried out by the MOI and National Information Society Agency (NIA)), with a view to raising the accuracy of commercial data and preventing an excessive concentration of startups in a certain area cased by misleading information.

First of all, to secure data representativeness and accuracy, SMBA collected and consolidated 14 million datasets held by the Small Enterprise and Market Service, National Pension Service (NPS), NICE ZiniData, SK Planet and Hyundai MnSOFT.

In addition, the 14 million datasets went through data quality control and refining processes to produce 8.6 million high-quality non-overlapping datasets. The consolidated data is accessible on a business establishment website (http://data.sbiz.or.kr) and the Open Data Portal (www.data.go.kr).

Exploiting such data, Korean startup Red Table is offering a big data analytics service in which restaurants are ranked by region and menu. Red Table’s restaurant ratings service, based on 2 million datasets, won the President's Award at OGD-based Startup Contest 2013, hosted by the MOI.

Data on the current situation of major commercial districts across the nation, consolidated data on business establishments in commercial districts and data on types of business establishments were disclosed in 2015. This year, data on the estimated cost of leasing retail spaces and more information on commercial areas nationwide will be opened up. Efforts to open up records of temporary and permanent shutdowns of business establishments, data with additive attributes and data on the startup concentration index will continue until 2017. And such efforts will go side by side with data quality management.

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