Bridging the gap: A library-based collaboration to enhance data skills for clinical researchers

IF 2.6 Q2 HEALTH POLICY & SERVICES Learning Health Systems Pub Date : 2022-09-06 DOI:10.1002/lrh2.10339
Matthew B. Carson, Sara Gonzales, Pamela Shaw, Daniel Schneider, Kristi Holmes
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Abstract

Introduction

Enterprise data warehouses (EDWs) serve as foundational infrastructure in a modern learning health system, housing clinical and other system-wide data and making it available for research, strategic, and quality improvement purposes. Building on a longstanding partnership between Northwestern University's Galter Health Sciences Library and the Northwestern Medicine Enterprise Data Warehouse (NMEDW), an end-to-end clinical research data management (cRDM) program was created to enhance clinical data workforce capacity and further expand related library-based services for the campus.

Methods

The training program covers topics such as clinical database architecture, clinical coding standards, and translation of research questions into queries for proper data extraction. Here we describe this program, including partners and motivations, technical and social components, integration of FAIR principles into clinical data research workflows, and the long-term implications for this work to serve as a blueprint of best practice workflows for clinical research to support library and EDW partnerships at other institutions.

Results

This training program has enhanced the partnership between our institution's health sciences library and clinical data warehouse to provide support services for researchers, resulting in more efficient training workflows. Through instruction on best practices for preserving and sharing outputs, researchers are given the tools to improve the reproducibility and reusability of their work, which has positive effects for the researchers as well as for the university. All training resources have been made publicly available so that those who support this critical need at other institutions can build on our efforts.

Conclusions

Library-based partnerships to support training and consultation offer an important vehicle for clinical data science capacity building in learning health systems. The cRDM program launched by Galter Library and the NMEDW is an example of this type of partnership and builds on a strong foundation of past collaboration, expanding the scope of clinical data support services and training on campus.

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弥合差距:基于图书馆的合作,以提高临床研究人员的数据技能
企业数据仓库(edw)是现代学习型卫生系统的基础设施,存放临床和其他系统范围的数据,并使其可用于研究、战略和质量改进目的。基于西北大学Galter健康科学图书馆和西北医学企业数据仓库(NMEDW)之间的长期合作伙伴关系,创建了端到端临床研究数据管理(cRDM)项目,以提高临床数据工作人员的能力,并进一步扩展校园的相关图书馆服务。方法培训内容包括临床数据库架构、临床编码标准、将研究问题转化为查询以便正确提取数据等。在这里,我们描述了这个项目,包括合作伙伴和动机,技术和社会组成部分,将FAIR原则整合到临床数据研究工作流程中,以及这项工作的长期影响,作为临床研究最佳实践工作流程的蓝图,以支持其他机构的图书馆和EDW合作伙伴关系。结果本培训项目加强了我院健康科学图书馆与临床数据仓库之间的合作,为科研人员提供支持服务,提高了培训工作流程的效率。通过关于保存和共享产出的最佳实践的指导,研究人员获得了提高其工作的可重复性和可重用性的工具,这对研究人员和大学都有积极的影响。所有培训资源都已公开提供,以便支持其他机构这一关键需求的人可以利用我们的努力。结论:以图书馆为基础的支持培训和咨询的伙伴关系为学习型卫生系统的临床数据科学能力建设提供了重要的工具。Galter图书馆和NMEDW启动的cRDM项目就是这种伙伴关系的一个例子,它建立在过去合作的坚实基础上,扩大了临床数据支持服务和校园培训的范围。
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来源期刊
Learning Health Systems
Learning Health Systems HEALTH POLICY & SERVICES-
CiteScore
5.60
自引率
22.60%
发文量
55
审稿时长
20 weeks
期刊最新文献
Issue Information Envisioning public health as a learning health system Thanks to our peer reviewers Learning health systems to implement chronic disease prevention programs: A novel framework and perspectives from an Australian health service The translation-to-policy learning cycle to improve public health
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