With the continuous innovation and application of digital technology and the rapid development of digital economy, data has become a national basic strategic resource and key production factor, which not only effectively promotes the transformation and development of traditional industries and the innovation and development of digital economy, but also becomes the key driving force for cultivating and developing new productivity. Data elements have the characteristics of replicability, strong synergy and derivability. With the transformation from user aggregation to data aggregation, data has become the basic element to maintain the normal operation of digital economic activities. Unlike the single enabling role of production factors under the traditional economic model, data factors play their multiplier effect by pulling technological innovation, transforming production and manufacturing, promoting collaborative integration, and realizing data sharing. The supply effectiveness of data elements multiplied by the multiplier effect of data elements has become the supporting mechanism of data elements enabling new quality productivity. From the perspective of holistic thinking and systematic logic, it is necessary to build an overall framework to give play to the enabling effect of data elements on new quality productivity. The addition of data elements, especially relying on the internal mechanism of the multiplier effect of data elements, can drive scientific and technological innovation, intelligent generation, industrial chain coordination and decision optimization, thus forming a systematic overall framework, which can effectively promote technological revolutionary innovation, innovative allocation of production factors, and in-depth industrial transformation and upgrading, so as to accelerate the generation and development of new quality productivity. In order to fully release the value of data elements and ensure the full flow of data elements to promote new quality productive forces, it is still necessary to improve the supply level of data elements, synchronize the infrastructure of data elements, clarify the property rights of data elements, and ensure the compliance operation of data elements.