数据知识产权金融化成为了一种极具潜力的解决方案。通过模式创新，如构建数据知识产权质押融资、开展数据知识产权证券化等，可盘活数据知识产权价值，为科技成果转化提供充足资金。然而，这一过程也面临诸多风险，如数据知识产权估值不准确、市场波动等。基于此，提出了一系列针对性的风险防控策略。通过防控策略的实施，能够有效降低数据知识产权金融化过程中的风险，保障科技成果转化的顺利进行。

The financialization of data intellectual property has emerged as a highly promising solution. By innovating models such as establishing data intellectual property pledge financing and conducting data intellectual property securitization, the value of data intellectual property can be activated, providing ample funding for the transformation of scientific and technological achievements. However, this process also faces numerous risks, such as inaccurate valuation of data intellectual property and market fluctuations. Based on this, a series of targeted risk prevention and control strategies have been proposed. The implementation of these strategies can effectively reduce risks in the financialization of data intellectual property, ensuring the smooth progress of scientific and technological achievement transformation.