Abstract: The research data plays an increasingly important role in the data sharing and management
services of universities in the new era. The growth of data brings in the value of quality control and data
governance challenges. This paper analyzes and summarizes the main problems in the development of
scientific research results data. Combined with the practical exploration of data processing and quality
control of published results in the process of institutional repository construction in Shandong University,
this paper proposes a five-level process framework for data processing and introduces Shandong University’s
exploration and practice in data collection, data cleansing, and outcome assignment. It is proposed that,
under the unified planning and guidance of the school, a sound data collection and quality control framework
system should be formulated to strengthen the thinking for the development and governance of scientific
research data.

Key words: Scientific research achievements, Data governance, Process design, Quality control, Institutional repository