Interdisciplinarity and Performance Data of China's National Social Science Fund Projects

Each record details core project attributes (such as ID, title, year, funding level and type), host institutions and principal investigators, disciplinary classifications (including both Chinese and English names), and interdisciplinarity indicators. In addition, the dataset includes research output data, covering the number of publications, team size, number of collaborating institutions, principal investigator's publication count, and publication lag, as well as bibliometric indicators derived from publishing journals (e.g., total citations, article counts, journal impact factors).

This dataset is suitable for analyzing funding patterns, research performance, interdisciplinary characteristics, and their determinants in social science research.