Multidimensional analysis of data resources: Necessity, attributes, practical constraints, and research prospects
In today’s information and digital era, data has become an important basic and strategic resource. Based on the perspective of resource science, this paper systematically discusses the historical inevitability and practical necessity of data becoming a basic and strategic resource, and further discu...
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| Format: | Article |
| Language: | zho |
| Published: |
Science Press, PR China
2025-06-01
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| Series: | Ziyuan Kexue |
| Subjects: | |
| Online Access: | https://www.resci.cn/fileup/1007-7588/PDF/1751588654057-874234874.pdf |
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| Summary: | In today’s information and digital era, data has become an important basic and strategic resource. Based on the perspective of resource science, this paper systematically discusses the historical inevitability and practical necessity of data becoming a basic and strategic resource, and further discusses the basic and high-order attributes of matching data resources with traditional resources, and then explores the practical difficulties and breakthrough paths faced by the development of data resources. It is found that data becoming resources is the inevitable result of the development of scientific and technological revolution and conforms to the objective law of economic development. With the in-depth development of scientific and technological revolution, data not only has the attribute characteristics matching with traditional resources, but also has high-order attributes such as invisibility, reproducibility, high complementarity and high liquidity. However, data resources also have inherent limitations such as scene dependence, time decay, ambiguity in ownership confirmation, and face practical constraints such as insufficient effective supply, low utilization rate and imperfect governance system. Therefore, it is necessary to attach importance to the resource attributes of data, activate the value of data resources, coordinate the bilateral matching of data supply quantity and quality, promote the cooperation of multi-party data entities and build a unified governance framework system. The future research directions mainly include the academic system construction of data resources, the construction of data basic systems and facilities, the innovative application scenarios of data resources,and the research on data resource governance system, etc., so as to better play the role of data as a basic resource and an innovation engine. |
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| ISSN: | 1007-7588 |