Silkotch Christie, Garcia-Milian Rolando, Hersey Denise
David W. Howe Memorial Library, University of Vermont, Burlington, VT, 05405, USA.
Bioinformatics Support Hub, Harvey Cushing/John Whitney Medical Library, Yale University, New Haven, CT, 06510, USA.
Histochem Cell Biol. 2023 Sep;160(3):193-198. doi: 10.1007/s00418-023-02198-1. Epub 2023 May 29.
Federal mandates, publishing requirements, and an interest in open science have all generated renewed attention on research data management and, in particular, data sharing practices. Due to the size and types of data they produce, bioimaging researchers confront specific challenges in aligning their data with FAIR principles, ensuring that it is findable, accessible, interoperable, and reusable. Although not always recognized by researchers, libraries can, and have been, offering support for data throughout its lifecycle by assisting with data management planning, acquisition, processing and analysis, and sharing and reuse of data. Libraries can educate researchers on best practices for research data management and sharing, facilitate connections to experts by coordinating sessions using peer educators and appropriate vendors, help assess the needs of different researcher groups to identify challenges or gaps, recommend appropriate repositories to make data as accessible as possible, and comply with funder and publisher requirements. As a centralized service within an institution, health sciences libraries have the capability to bridge silos and connect bioimaging researchers with specialized data support across campus and beyond.
联邦指令、出版要求以及对开放科学的关注,都重新引发了对研究数据管理,尤其是数据共享实践的关注。由于生物成像研究人员所产生的数据的规模和类型,他们在使自己的数据符合FAIR原则(即可发现、可访问、可互操作和可重用)方面面临着特定挑战。尽管研究人员并非总能认识到这一点,但图书馆能够且一直在通过协助数据管理规划、获取、处理与分析以及数据共享与重用,为数据的整个生命周期提供支持。图书馆可以就研究数据管理与共享的最佳实践对研究人员进行培训,通过利用同行教育者和合适的供应商协调相关会议来促进与专家的联系,帮助评估不同研究人员群体的需求以识别挑战或差距,推荐合适的存储库以使数据尽可能易于获取,并符合资助者和出版商的要求。作为机构内的一项集中服务,健康科学图书馆有能力跨越壁垒,将生物成像研究人员与校园内外的专业数据支持联系起来。