Cloud Computing – CLOUD 2023

This paper delves into the transformative potential of block- chain technology and Non-Fungible Tokens (NFTs) in the real estate sector, a critical component of social computing. Traditional real estate transactions are often fraught with inefficiencies, opacity, and a lack of trust, which can hinder the sector’s growth and its ability to contribute to social computing. To address these limitations, we introduce a collaborative approach that leverages blockchain technology, smart contracts, NFTs, and the InterPlanetary File System (IPFS). These technologies, when applied to real estate transactions, can enhance transparency, reduce transaction times, and foster a more collaborative and trustful environment. The motivation for this paper is rooted in the need to revolutionize the real estate sector, making it more efficient, transparent, and conducive to social computing. We believe that the integration of blockchain technology and NFTs can significantly contribute to this transformation. Our work makes three significant contributions. First, we propose a novel real estate model based on blockchain technology, which addresses the current limitations in the sector. Second, we implement a proof-of-concept based on the proposed model, demonstrating its feasibility and effectiveness. Lastly, we deploy the proof-of-concept on four EVM-supported platforms, namely BNB Smart Chain, Fantom, Polygon, and Celo. This allows us to evaluate each platform’s suitability for our proposed model, ensuring optimal performance and efficiency.

Although the economic value of data has received widespread attention, most financial enterprises still have differences in cognition of digital transformation compared with the banking industry, which has always focused on the accumulation of digital capabilities, especially in the understanding and practice of data management systems. Aiming at the topic of how to promote data management capacity building based on the existing digital foundation of enterprises, the author draws a “data governance voyage chart” based on the relevant theory of DMBOK 2.0 and the research of the financial leasing industry, aiming to analyze the dynamic balance theory between the elements of data governance by discussing the dialectical relationship between the five elements of “wind”, “tower”, “ship”, “sail” and “sea”, and share relevant thoughts on deepening data governance in the financial industry.

From the perspective of enterprise functions, during the dynamic deduction process of internal and external business development of the enterprise, we try to explore and answer the overall idea of why small and medium-sized enterprises need digital transformation, when they need digital transformation, and how to carry out digital transformation. Based on the exploration of the aforementioned issues, the practical experience accumulated in the digital construction process of relevant industries is given.

Under the impetus of new-generation information technologies such as big data, artificial intelligence and the industrial internet, the world is accelerating its transition into the digital economy era. In 2021, China articulated its Digital China Strategy, aiming to digitize and make intelligent, driving economic growth and societal progress in China. "Data" as a crucial production factor plays a paramount role in the development of the digital economy. The capability and level of data asset management will largely determine the extent of data utilization and the release of data value. Against this backdrop, an increasing number of enterprises are incorporating data asset management into their strategic plans. Metadata forms the foundation of data asset management and serves as a crucial cornerstone in other related areas. This article introduces the basic situation about data assets in civil aviation information field and explores how metadata plays a role in data asset management within the civil aviation information sector.

The domain of dog healthcare is undergoing transformative change, demanding more robust systems for ensuring the accuracy, retrievability, and protection of medical records. This paper unveils an innovative paradigm for advancing traditional dog medical data management using blockchain technology. Capitalizing on Non-Fungible Tokens (NFTs), the InterPlanetary File System (IPFS), and Smart Contracts, we propose a system that refines data retrieval and modification processes, bolstering both visibility and trustworthiness. At the heart of our solution is a pioneering decentralized structure, empowering veterinarians to register, retrieve, and alter medical records, with every action governed by rigorous access barriers and identity confirmation methods. The distributed characteristics of IPFS offer resilient, alteration-resistant data retention, whereas the NFTs encapsulate the individuality of each dog’s medical journey. The incorporation of Smart Contracts ensures fluid data modifications, preserving a distinct and unchangeable chronicle of medical histories. Set against traditional frameworks, our model ensures superior security, adept data stewardship, and unmatched clarity, signposting the future of dog healthcare.

With the rapid development of emerging digital technologies such as big data, 5G and cloud computing, a technological pedestal has been built for industrial digital transformation, accelerating industrial productivity and upgrading industrial structure. However, industrial data, as a core element of digital transformation, faces great governance difficulties. Massive industrial data exists widely in industrial research and development, production, operation and other links, data security, compliance will directly affect the quality and effect of digital transformation, so industrial data processors to carry out safe and compliant data governance is a necessary initiative in the process of digital transformation, but also to fulfil the legal obligations to meet the inevitable requirements of regulatory requirements.

Blockchain, with its distributed, transparent, and tamper resistant characteristics, can effectively build a trust and collaboration network when facing data assetization, which is the process of transforming data into valuable assets. Blockchain can perfectly meet the needs of data confirmation, orderly circulation, and transparent supervision in various domains and scenarios. At the same time, the demand for blockchain technology for important business data applications in various industries is also increasing rapidly. However, from classic scenarios of blockchain applications, such as cryptocurrency and smart contracts, it has been found that the structure of transaction data stored on blockchain is relatively simplified and standardized. The difficulty of implementing solutions to enable blockchain to carry various complex business data with different formats and requirements can be imagined. Therefore, in the practice of blockchain technology in general business systems, the design of on-chain data structures, which are the ways to encode and store business data on blockchain, often becomes crucial and challenging. By practicing the scenario of “infectious disease report card” certificate storage and query, which is a use case of blockchain for public health management, we attempt to summarize a universal uplink structure to guide general business systems in implementing key business data blockchain solutions effectively and efficiently.

On August 16th, the Ministry of Finance issued the “Interim Regulations on the Accounting Treatment of Enterprise Data Resources Entering the Table”, officially marking the beginning of data assets entering the financial accounting subject assets. Subsequently, the China Asset Appraisal Association issued the “Guiding Opinions on Data Asset Appraisal” on September 8th and confirmed its implementation from October 1st. Further guidance policies on data element rights confirmation, pricing, transaction circulation, income distribution, pilot projects, and other progress are expected to be launched one after another.

After the release of a series of policies, experts from various enterprises actively responded, researching and exploring the future market impact and implementation strategies of data policies. This is a significant benefit for enterprises with heavyweight data, as data “entering the table” will mean that the data has completed the leap from natural resources to economic assets.

But the inclusion of data assets in the table is a result, not the purpose of policies. The purpose of the policy is to promote data governance in enterprises and convert valuable data assets into actual operating income. Among them, “how to evaluate and price data assets” will become the first challenge for enterprise data resources to be included in the table.

This article will interpret the core difficulty of data asset entry into the table - “asset pricing”, propose feasible response strategies and action plans, and provide direction and reference for enterprises to initiate data asset entry and data discussion.