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Assessing Data Management Support Needs of Bioengineering and Biomedical Research Faculty

机译：评估生物工程和生物医学研究学院的数据管理支持需求

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Objectives: This study explores data management knowledge, attitudes, and practices of bioengineering and biomedical researchers in the context of the National Institutes of Health-funded research projects. Specifically, this study seeks to answer the following questions: What is the nature of biomedical and bioengineering research on the Illinois campus and what kinds of data are being generated? To what degree are biomedical and bioengineering researchers aware of best practices for data management and what are the actual data management behaviors? What aspects of data management present the greatest challenges and frustrations? To what degree are biomedical and bioengineering researchers aware of data sharing opportunities and data repositories, and what are their attitudes towards data sharing? To what degree are researchers aware of campus services and support for data management planning, data sharing, and data deposit, and what is the level of interest in instruction in these areas? Methods: Librarians on the University of Illinois at Urbana Champaign campus conducted semi-structured interviews with bioengineering and biomedical researchers to explore researchers’ knowledge of data management best practices, awareness of library campus services, data management behavior and challenges managing research data. The topics covered during the interviews were current research projects, data types, format, description, campus repository usage, data-sharing, awareness of library campus services, data reuse, the anticipated impact of health on public and challenges (interview questions are provided in the Appendix). Results: This study revealed the majority of researchers explore broad research topics, various file storage solutions, generate numerous amounts of data and adhere to differing discipline-specific practices. Researchers expressed both familiarity and unfamiliarity with DMP Tool. Roughly half of the researchers interviewed reported having documented protocols for file names, file backup, and file storage. Findings also suggest that there is ambiguity about what it means to share research data and confusion about terminology such as “repository” and “data deposit”. Many researchers equate publication to data sharing. Conclusions: The interviews reveal significant data literacy gaps that present opportunities for library instruction in the areas of file organization, project workflow and documentation, metadata standards, and data deposit options. The interviews also provide invaluable insight into biomedical and bioengineering research in general and contribute to the authors’ understanding of the challenges facing the researchers we strive to support.
机译：目标：本研究在美国国立卫生研究院资助的研究项目的背景下，探索了生物工程和生物医学研究人员的数据管理知识，态度和实践。具体而言，本研究旨在回答以下问题：伊利诺伊州校园的生物医学和生物工程研究的本质是什么，正在生成什么样的数据？生物医学和生物工程学研究人员在多大程度上了解数据管理的最佳实践以及实际的数据管理行为是什么？数据管理的哪些方面带来了最大的挑战和挫败感？生物医学和生物工程研究人员对数据共享机会和数据存储库的了解程度如何？他们对数据共享的态度是什么？研究人员在多大程度上了解校园对数据管理规划，数据共享和数据存储的服务和支持，在这些领域对教学的兴趣水平如何？方法：伊利诺伊大学厄本那香槟分校的图书馆员对生物工程和生物医学研究人员进行了半结构化访谈，以探讨研究人员对数据管理最佳实践的了解，对图书馆校园服务的认识，数据管理行为以及管理研究数据的挑战。访谈中涉及的主题是当前的研究项目，数据类型，格式，描述，校园存储库使用情况，数据共享，图书馆校园服务意识，数据重用，健康对公众的预期影响和挑战（访谈问题在附录）。结果：这项研究表明，大多数研究人员探索广泛的研究主题，各种文件存储解决方案，生成大量数据并遵循不同的学科特定实践。研究人员表示对DMP工具既熟悉又不熟悉。接受采访的研究人员中大约有一半报告称已记录了文件名，文件备份和文件存储的协议。研究结果还表明，共享研究数据的含义不明确，并且对诸如“存储库”和“数据存储库”之类的术语感到困惑。许多研究人员将发布等同于数据共享。结论：访谈揭示了巨大的数据素养差距，这些差距为图书馆在文件组织，项目工作流程和文档，元数据标准以及数据存储选项方面的教学提供了机会。访谈还提供了对生物医学和生物工程学研究的宝贵见解，有助于作者理解我们努力支持的研究人员所面临的挑战。

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