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http://dx.doi.org/10.5392/JKCA.2021.21.12.034

Data Product Value Evaluation Method for Data Exchange Platform  

Kim, Sujin (베가스)
Lee, Junghyun (한국데이터산업진흥원)
Park, Cheonwoong (한국데이터산업진흥원)
Publication Information
Abstract
In the domestic data exchanging market, unreasonable pricing of purchase data is consistently mentioned as a major obstacle in data trading. This is a problem caused by the inability to properly evaluate the value of data products due to lack of product information and experience in using them. In order to activate trading, the data exchanges need to provide information that allows consumers to comprehensively judge the value of data products in addition to prices. The cost-based, income-based, and market-based methods, which are mainly applied to data valuation, are insufficient as data valuation methods to stimulate trading and distribution because only price information, a result of valuation from a supplier's point of view, can be shared with consumers. This study aims to develop a measurable valuation method that allows data trading stakeholders (exchanges, suppliers, and consumers) to judge and share the value of data products from a common perspective. To this end, we identified the value drivers of data products, which are considered important in overseas data exchanges and related research, and derived an evaluation method that can quantitatively measure each value driver. In addition, evaluation criteria in the form of a rating table were developed using data products for transactions, and a value evaluation index was developed through stratification analysis (AHP) to enable relative value comparison. As a result of applying the evaluation criteria to actual data products, it was found that the evaluation values were differentiated according to the characteristics of individual data products, so it could be used as a relative value comparison tool.
Keywords
Data Product; Evaluation; Data Exchange; Data Product Value Driver;
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  • Reference
1 Daniel Moody and Peter Walsh, Measuring The Value Of Information: An Asset Valuation Approach, European Conference on Information Systems (ECIS'99), 1999.
2 https://www.dawex.com/en/product/
3 James E. short and Steve Todd, What's your data worth, MITSloan Management Review, Apr. 2017.
4 https://www.mk.co.kr/news/economy/view/2021/01/46173/
5 Everett Leonidas, Whit Walker, A Practical Guide to Pricing Data Products, datastreamX, [Online]. Available: https://cdn2.hubspot.net/hubfs/573334/Downloadable_Content_(WP_or_Guides)/DataStreamX_Data_Product_Pricing_Whitepaper.pdf
6 김진철, 빅데이터 플랫폼 시대...데이터 연계체계를 확보하라, 통계의창, 2019년 겨울호
7 Eric Almquist, John Senior, and Nicolas Bloch, The Elements of Value, HBR, 2016(9).
8 한국데이터산업진흥원, 2020년 데이터산업현황조사, 2020.
9 한국데이터산업진흥원, 2018년 데이터산업현황조사 결과 보고서, 2019(3).
10 Wendy C. Y. Li, Nirei Makoto, and Yamana Kazufumi, Value of Data: There's No Such Thing as a Free Lunch in the Digital Economy, Research Institute of Economy, Trade and Industry (RIETI), 2019
11 PwC, Putting a value on data, 2019.
12 Bill Schmarzo, [Online]. Available: https://www.linkedin.com/pulse/schmarzos-economic-digital-asset-valuation-theorem-bill-schmarzo
13 Douglas B. Laney, INFONOMICS, bibliomotion Inc., 2018.
14 한국데이터산업진흥원, 2020년 데이터산업현황조사 보고서, 2021(3).
15 Jenna Slotin, What do we know about the value of data, Global Partnership for Sustainable Development Data, May. 2018.
16 Infocomm and Media Development Authority (IMDA) and Personal Data Protection Commission (PDPC), Guide Data Valuation for data sharing, Singapore, 2019.
17 한국데이터산업진흥원, 2019년 데이터산업현황조사 주요 결과 요약, 2019(12).
18 박소영, 장현숙, 빅데이터 거래의 한.중비교 :기업 활용을 중심으로, 한국무역협회 국제무역연구원, 2018년 16호.
19 https://www.advaneo-datamarketplace.de/en/data-selling-on-the-data-marketplace/#
20 최재경, 빅데이터분석의 국내외 활용현황 및 시사점, 한국과학기술기획평가원, 2016.
21 한국데이터산업진흥원, 2020 데이터품질평가 종합안내서, 2021.
22 행정자치부, 공공데이터 관리지침(행정자치부 고시 제2016-0호), 2016(9).
23 Eric Almquist, Jamie Cleghorn, and Lori Sherer, The B2B Elements of Value, HBR, 3-4, 2018,
24 Markus Spiekermann, Value based comparison of data sources for data driven business processes, Fraunhofer ISST, 2019