Searches as data: archiving and sharing search strategies using an institutional data repository

IF 2.9 4区 医学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Alisa Rod, Jill Boruff
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引用次数: 0

Abstract

Background: By defining search strategies and related database exports as code/scripts and data, librarians and information professionals can expand the mandate of research data management (RDM) infrastructure to include this work. This new initiative aimed to create a space in McGill University’s institutional data repository for our librarians to deposit and share their search strategies for knowledge syntheses (KS). Case Presentation: The authors, a health sciences librarian and an RDM specialist, created a repository collection of librarian-authored knowledge synthesis (KS) searches in McGill University’s Borealis Dataverse collection. We developed and hosted a half-day “Dataverse-a-thon” where we worked with a team of health sciences librarians to develop a standardized KS data management plan (DMP), search reporting documentation, Dataverse software training, and how-to guidance for the repository. Conclusion: In addition to better documentation and tracking of KS searches at our institution, the KS Dataverse collection enables sharing of searches among colleagues with discoverable metadata fields for searching within deposited searches. While the initial creation of the DMP and documentation took about six  hours, the subsequent deposit of search strategies into the institutional data repository requires minimal effort (e.g., 5-10 minutes on average per deposit). The Dataverse collection also empowers librarians to retain intellectual ownership over search strategies as valuable stand-alone research outputs and raise the visibility of their labor. Overall, institutional data repositories provide specific benefits in facilitating compliance both with PRISMA-S guidance and with RDM best practices.
搜索即数据:利用机构数据储存库归档和共享搜索策略
背景:通过将搜索策略和相关数据库输出定义为代码/脚本和数据,图书馆员和信息专业人员可以扩大研究数据管理(RDM)基础设施的任务范围,将这项工作纳入其中。这项新举措的目的是在麦吉尔大学的机构数据存储库中创建一个空间,供我们的图书管理员存放和分享他们的知识综合(KS)搜索策略:作者是一名健康科学图书馆员和一名 RDM 专家,他们在麦吉尔大学的 Borealis Dataverse 馆藏中创建了一个图书馆员撰写的知识合成(KS)检索库。我们开发并举办了为期半天的 "数据verse-a-thon "活动,与健康科学图书馆员团队合作开发了标准化的 KS 数据管理计划 (DMP)、检索报告文档、Dataverse 软件培训以及资源库操作指南:结论:除了更好地记录和跟踪本机构的 KS 检索外,KS Dataverse 数据库还能在同事之间共享检索结果,并提供可发现的元数据字段,以便在保存的检索结果中进行检索。虽然最初创建 DMP 和文档需要大约 6 个小时,但随后将搜索策略存入机构数据存储库所需的工作量极小(例如,平均每次存入只需 5-10 分钟)。Dataverse 数据库还使图书馆员能够保留对搜索策略的知识所有权,将其作为有价值的独立研究成果,并提高其劳动的可见度。总之,机构数据资源库在促进遵守 PRISMA-S 指南和 RDM 最佳实践方面提供了具体的好处。
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来源期刊
Journal of the Medical Library Association
Journal of the Medical Library Association INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
4.10
自引率
10.00%
发文量
39
审稿时长
26 weeks
期刊介绍: The Journal of the Medical Library Association (JMLA) is an international, peer-reviewed journal published quarterly that aims to advance the practice and research knowledgebase of health sciences librarianship. The most current impact factor for the JMLA (from the 2007 edition of Journal Citation Reports) is 1.392.
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