Open and Clarified Process of Compatibility Standards for Promoting Data Exchange

Area of Science:

• Information Science
• Computer Science
• Data Management

Background:

• Mutual availability in data distribution is crucial for interdisciplinary cooperation.
• Current standardization processes are costly, time-consuming, and face challenges due to diverse stakeholders.
• Adapting to social evolution and big data necessitates new methods for data specification standards.

Purpose of the Study:

• To analyze the evolution of management policies in Standard Developing Organizations (SDOs) for data-related technologies.
• To discuss strategies for accelerating standardization processes and promoting data transactions.
• To facilitate the early diffusion of data specifications across diverse industries.

Main Methods:

• Analysis of historical management policies of Standard Developing Organizations (SDOs).
• Review of stakeholder diversification impact on standardization.
• Exploration of strategies for rapid standardization and diffusion.

Main Results:

• Identified challenges in current SDO policies regarding speed and stakeholder consensus.
• Highlighted the need for adaptive strategies to manage diverse industry requirements.
• Examined the relationship between standardization speed and data transaction encouragement.

Conclusions:

• Effective data standardization requires adaptable SDO policies that balance consensus-building with speed.
• Strategies focusing on rapid standardization and early diffusion are key to leveraging big data.
• Cross-industry collaboration hinges on efficient and inclusive data specification development.