Quantitative assessment of research data management practice
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This survey aims to investigate research data management practices in academic institutions. The survey comprises questions common to all institutions as well as institution-specific ones. Common questions were drafted in the frame of a collaboration between several RDM services: Tu Delft (team effort), EPFL (team effort), University of Cambridge (notably Marta Busse) and University of Illinois (notably Heidi Imker). The first survey was run by TU Delft and EPFL only end of 2017. In total, 1263 responses where collected (680 from TU Delft, 235 from EPFL and 348 from the University of Cambridge) and are published here. The results of each institution are provided in Microsoft Excel 2007 (XLSX) format. Consolidated results are provided in CSV format The first lines of the CSV file contains the question asked to researchers. Each further line contains the response of a researcher; answers to institution-specific questions are set to N/A for researchers of the other institutions. Column delimiters are commas(,), quote chars are double-quotes (") and subfield separators are semi-columns (;). The text encoding is UTF-8. More information about this survey as well as the exact survey questions and a detailed description how the survey might be re-used by other institutions is available on the project page on the Open Science Framework: htts://osf.io/mz3fx/ For any questions contact datastewards@tudelft.nl or researchdata@epfl.ch
本调研旨在探究学术机构中的研究数据管理(Research Data Management,RDM)实践。调研包含适用于所有机构的通用问题,以及针对特定机构的专属问题。通用问题由多家研究数据管理服务团队合作起草:代尔夫特理工大学(Tu Delft,团队协作完成)、洛桑联邦理工学院(EPFL,团队协作完成)、剑桥大学(尤其感谢Marta Busse)以及伊利诺伊大学(尤其感谢Heidi Imker)。 首次调研仅由代尔夫特理工大学与洛桑联邦理工学院于2017年末开展,共回收1263份有效答复(其中代尔夫特理工大学680份、洛桑联邦理工学院235份、剑桥大学348份),相关数据集已在本平台发布。 各机构的调研结果以Microsoft Excel 2007(XLSX)格式提供,整合后的综合结果以CSV格式提供。 CSV文件的首行包含向研究者提出的调研问题,后续每一行对应一位研究者的答复;针对其他机构研究者的专属问题,其答复字段均标记为N/A。CSV文件的列分隔符为逗号(,),引号字符为双引号("),子字段分隔符为分号(;),文本编码格式为UTF-8。 关于本调研的更多信息、完整的调研问卷,以及其他机构复用该调研的详细说明,均可在开放科学框架(Open Science Framework,OSF)的项目页面查阅:htts://osf.io/mz3fx/。若有任何疑问,可联系datastewards@tudelft.nl或researchdata@epfl.ch。



