Earticle

초록

영어

Our study aims to systematically investigate the issue of determining the value of data within the context of national data management. Even though the data produced at present can be applied to a variety of situations, transactions are not initiated. This is examined as a result of the absence of efforts to objectively and consistently assess the economic and social value of data. Thus, we research as as to devise a reasonable value calculation plan using a multidimensional approach that takes into account the characteristics of the data, the context in which it is used, and the market structure. Ultimately, our discussion is expected to foster the maturation of the national data ecosystem and the evolution of a data-driven society and economy by encouraging the establishment of suitable transaction prices for data resources and the creation of a distribution structure. The traditional data pricing approaches of income, cost, and market—which were proposed in earlier studies—calculate values based on data economic benefits, production costs, and transaction cases, respectively. However, they have the drawback of not accurately reflecting the multidimensional and immaterial properties of data. On the other hand, our recently suggested methodology differs in that it preserves the fundamental ideas of the current approach while taking into account data quality aspects and utilization ecosystems in a broad manner. A more comprehensive assessment of the socioeconomic ripple impact and the actual use value of data can be achieved by incorporating new evaluation elements alongside pre-existing ones. In contrast to straightforward information goods, our integrated evaluation approach will acknowledge data assets as knowledge-based assets capable of generating ongoing value. Consequently, our study is believed to help develop a fair data pricing structure that takes marketability and publicity into account.

목차

Abstract
1. INTRODUCTION
2. RELATED WORKS
2.1. Main methodologies for price calculation
2.2. Main Considerations for price estimation
3. DATA PRICE CALCULATION MODEL
3.1. Extracting data price calculation models
3.2. Designing data price calculation models
4. MULTIDIMENSIONAL DESIGN FOR DATA VALUE CALCULATION
4.1. Consideration for variables of data price calculation
4.2. Consideration for principles of data price calculation
4.3. Consideration for standards of data price calculation
5. CONCLUSIONS
Acknowledgement
REFERENCES

키워드

저자

• Suck-Tae JOUNG [ Professor, Department of Computer & Software Engineering, Wonkwang University (AI Convergence Research Institute), Republic of Korea ]
• Hyunsup AHN [ Project Owner, Department of Location Service, Search and Geocoding, HERE Technologies, Germany ]
• Sangwon LEE [ Professor, Department of Computer & Software Engineering, Wonkwang University (AI and Bigdata Convergence Research Center, AI Convergence Research Institute), Republic of Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Advanced Culture Technology(IJACT)

• 간기

  계간

• pISSN

  2288-7202

• eISSN

  2288-7318

• 수록기간

  2013~2025

• 등재여부

  KCI 등재

• 십진분류

  KDC 600 DDC 700