RDARI International Survey of Institutional Research Data Services 2019
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https://rdr.ucl.ac.uk/articles/RDARI_International_Survey_of_Institutional_Research_Data_Services_2019/10283540
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This is the complete set of results from the survey of institutional research data management services conducted by the Research Data Architectures for Research Institutions (RDARI) Interest Group of the Research Data Alliance (RDA). The survey was conducted between July and November 2019. The dataset consists of 82 responses, deduplicated and with email addresses redacted where explicit consent to publish was not granted.<br>The survey results are provided in two formats: as an Excel file, and as comma-separated values. The survey questions and answer formats are provided both in the Excel file and the accompanying readme.txt file.<br><br>The RDARI International Survey of Institutional Research Data Services (2019) was intended to capture the contemporary state of research data management service provision in research institutions and in so doing establish grounds for benchmarking between institutions. In addition, it was intended to facilitate and encourage the exchange of useful information between institutions to help RDM service providers learn from each other's experiences. Besides questions relating to the scale and nature of each institution, the survey gathered data relating to technologies, governance, resourcing, costs models, uptake, and the perceived success (or otherwise) of a range of research data management services.
本数据集为研究数据联盟(Research Data Alliance, RDA)下属的研究机构研究数据架构(Research Data Architectures for Research Institutions, RDARI)兴趣小组开展的机构研究数据管理服务调研的完整结果集。本次调研于2019年7月至11月期间开展,共收集到82份有效回复,已完成去重处理,且对未明确同意公开的受访者邮箱地址进行了隐去处理。
本次调研结果以两种格式提供:Excel文件格式与逗号分隔值(comma-separated values, CSV)格式。调研问卷题目与作答格式同时包含在Excel文件与附带的readme.txt文档中。
《RDARI 2019年机构研究数据服务国际调研》旨在梳理全球研究机构当前的研究数据管理服务供给现状,以此为基础搭建机构间基准对比的依据。同时,本调研旨在推动并促进各机构间的有效信息交流,助力研究数据管理(Research Data Management, RDM)服务从业者互相借鉴实践经验。除针对各机构规模与属性的调研问题外,本次调研还收集了与技术架构、治理体系、资源配置、成本模型、服务普及率以及多项研究数据管理服务的主观评价(含优劣反馈)相关的数据。
提供机构:
University College London
创建时间:
2020-01-21



