Abstract: 【Purpose/significance】Research data occupies an important fundamental position in scientific research. The citation of
high-value research data plays an important role in promoting scientific research, so how to evaluate and cite high-value research data
is particularly critical【. Method/process】This paper starts with the data set of DCI in the field of Social Sciences in recent ten years, es? tablishes evaluation indicators and programs for research data【. Result/conclusion】There is a large gap between the total citation fre? quency of authors in low citation dataset and high citation dataset. The data set with high citation frequency has characteristics. The cited frequency of single paper data of data authors was high. The total citation frequency of data authors and articles are higher; the number of fund support is large; the average cited frequency of data in data storage institutions is high; there are many keywords and operation modes; provide DOI number and metadata description in detail. It brings some inspiration to the analysis of influencing fac? tors of data citation.【Innovation/limitation】Suggestions for optimal implementation of data citation behavior are obtained: promoting the diversification of evaluation system, cultivating the consciousness of data ethics, standardizing the form of data citation, and strengthening the data governance in each link.