Abstract: Scientific data governance is an important way to promote scientific and technological progress and release the value of scientific data. As an important part of scientific data, astronomical data is of great significance for consolidating our country's international advantages in the field of astronomical research and achieving efficient and safe data governance. This paper adopts the theoretical deduction and case mapping as research methods. On the basis of fully learning from the mature model of data governance, based on collaborative innovation theory and public value theory, it studies “subject-object-carrier”and“problem and target oriented” in the “three bodies and two directions” analytical model of in the field of scientific data governance. Based on this model, a mapping study was carried out on the “FAST” astronomical data governance. It provides a research method from theory to practice of “guiding theory-analysis method-case mapping” for scientific data governance, and provides useful support for the exploration and formation of systematic astronomical data governance.

Key words: Scientific data, Astronomical data, Collaborative innovation, Public value, Data governance