搜索作为数据:使用机构数据库存档和共享搜索策略
1alisa.rod@mcgill.ca, Research Data Management Specialist, Research and Scholarship, McGill University Library, McGill University, Montreal, QC, Canada.
Journal of the Medical Library Association : JMLA
|June 24, 2024
概括
图书馆员现在可以在机构存储库中存储和共享知识合成 (KS) 搜索策略. 该倡议通过将搜索视为代码和数据来加强研究数据管理 (RDM),提高可发现性和知识产权.
科学领域:
- 图书馆和信息科学 图书馆和信息科学
- 研究数据管理 (RDM)
- 知识综合 (KS) 是指知识的综合.
背景情况:
- 图书馆员和信息专业人员可以将搜索策略和数据库出口集成到研究数据管理 (RDM) 基础设施中.
- 麦吉尔大学的一项倡议在机构数据库中建立了一个专门的空间,供图书馆员存储和分享知识综合 (KS) 搜索策略.
研究的目的:
- 在麦吉尔大学的Borealis Dataverse中创建一个库存集合,用于图书馆员撰写的KS搜索.
- 开发标准化工具和培训,用于存储和管理KS搜索策略.
主要方法:
- 一名健康科学图书馆员和一名RDM专家合作建立了一个Dataverse收藏.
- 与卫生科学图书馆管理人员一起进行了"Dataverse-a-thon",以开发标准化KS数据管理计划 (DMP),搜索报告文档和培训材料.
主要成果:
- 创建了一个KS Dataverse集合,可以更好地记录,跟踪和共享KS搜索.
- 将搜索策略存入机构数据存储库需要在初始设置后的最小努力.
- 图书馆员可以保留搜索策略的知识产权作为研究成果,提高他们的工作的可见性.
结论:
- 机构数据库有助于遵守PRISMA-S指南和RDM最佳实践.
- 凯斯数据集集增强了搜索策略的可发现性和管理.
- 这个倡议赋予图书馆员权力,并承认搜索策略是有价值的研究成果.
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