大数据时代学术成果评价的困境及对策研究

推动学术成果评价对大数据的有效利用,有助于减少信息不对称,做出科学合理的价值判断,进而发挥好学术评价的引领作用。大数据时代学术成果评价面临数据获取与利用存在阻碍、缺少综合性成果评价平台、理论体系不完善、管理制度不够科学合理等困境,破解上述困境,需各界共同参与,推动高质量数据建设、共建开放平台、完善理论体系、健全相关制度。

Promoting the effective utilization of big data in academic achievement evaluation can help reduce information asymmetry,make scientific and reasonable value judgments,and thus play a leading role in academic evaluation.In the era of big data,academic achievement evaluation faces challenges such as obstacles in data acquisition and utilization,lack of comprehensive achievement evaluation platforms,incomplete theoretical systems,and insufficiently scientific and reasonable management systems.To solve these challenges,it is necessary for all sectors to participate together,promote high-quality data construction,jointly build open platforms,improve theoretical systems,and establish relevant systems.