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数据密集型科研环境下,为进一步推动科研数据服务的发展,以中国科学院和康奈尔大学为研究对象,对科研数据服务的实践情况展开了调研和分析。通过文献调研和网络调研的方法,围绕科研数据服务的组织架构、服务内容和技术支撑,对康奈尔大学和中国科学院的科研数据服务实践进行了总结。利用比较分析的方法,探讨了二者在科研数据服务实践上的异同,并结合国内的科研环境,对进一步推进以中国科学院为代表的国内科研数据服务的发展,提出了一定的参考建议。
In order to further promote the development of scientific research data services, under the data-intensive research environment, the Chinese Academy of Sciences and Cornell University are selected as the research subjects, and research and analysis on the practice of scientific research data services are carried out. Through the methods of literature research and network research, the research data service practices of Cornell University and Chinese Academy of Sciences are summarized around the organization structure, service contents and technical support of research data services. Using the comparative analysis method, the similarities and differences between the two in the service of scientific research data are discussed. Combined with the domestic research environment, some suggestions are made for further promoting the development of domestic scientific research data service represented by CAS.