Dataset Information

Health Sciences Libraries Advancing Collaborative Clinical Research Data Management in Universities.

ABSTRACT: Medical libraries need to actively review their service models and explore partnerships with other campus entities to provide better-coordinated clinical research management services to faculty and researchers. TRAIL (Translational Research and Information Lab), a five-partner initiative at the University of Washington (UW), explores how best to leverage existing expertise and space to deliver clinical research data management (CRDM) services and emerging technology support to clinical researchers at UW and collaborating institutions in the Pacific Northwest.The initiative offers 14 services and a technology-enhanced innovation lab located in the Health Sciences Library (HSL) to support the University of Washington clinical and research enterprise. Sharing of staff and resources merges library and non-library workflows, better coordinating data and innovation services to clinical researchers. Librarians have adopted new roles in CRDM, such as providing user support and training for UW's Research Electronic Data Capture (REDCap) instance.TRAIL staff are quickly adapting to changing workflows and shared services, including teaching classes on tools used to manage clinical research data. Researcher interest in TRAIL has sparked new collaborative initiatives and service offerings. Marketing and promotion will be important for raising researchers' awareness of available services.Medical librarians are developing new skills by supporting and teaching CRDM. Clinical and data librarians better understand the information needs of clinical and translational researchers by being involved in the earlier stages of the research cycle and identifying technologies that can improve healthcare outcomes. At health sciences libraries, leveraging existing resources and bringing services together is central to how university medical librarians will operate in the future.

SUBMITTER: Bardyn TP

PROVIDER: S-EPMC6124496 | biostudies-other | 2018

REPOSITORIES: biostudies-other

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Health Sciences Libraries Advancing Collaborative Clinical Research Data Management in Universities.

Bardyn Tania P TP Patridge Emily F EF Moore Michael T MT Koh Jane J JJ

Journal of escience librarianship 20180620 2

<h4>Purpose</h4>Medical libraries need to actively review their service models and explore partnerships with other campus entities to provide better-coordinated clinical research management services to faculty and researchers. TRAIL (Translational Research and Information Lab), a five-partner initiative at the University of Washington (UW), explores how best to leverage existing expertise and space to deliver clinical research data management (CRDM) services and emerging technology support to cl ...[more]

PMID: 30197832

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Project description:Purpose Today's clinical trial partnerships frequently join multi-disciplinary investigators and stakeholders, from different countries and cultures, to conduct research with a broad array of goals. This diversity, while a strength, can also foster divergent views about priorities and what constitutes success, thereby posing challenges for management, operations, and evaluation. As a sponsor and partner in such collaborations, we seek to assist and support their development and implementation of sound research strategies, to optimize their efficiency, sustainability, and public health impact. This report describes our efforts using an adaptation of the well-established Kaplan-Norton strategy management paradigm, in our clinical trials setting. We share findings from our first test of the utility and acceptance of this approach for evaluating and managing research strategies in a collaborative clinical research partnership. Results Findings from pilot studies and our first implementation in an ongoing clinical research partnership in Liberia, provide initial support for our hypothesis that an adapted version of the Kaplan-Norton strategy management model can have use in this setting. With leadership from within the partnership, analysis artifacts were gathered, and assessments made using standardized tools. Practical feasibility, resonance of the findings with partners, and convergence with other empirical assessments lend initial support for the view that this approach holds promise for obtaining meaningful, useable results for assessing and improving clinical research management. Conclusions and Implications Engaged leadership, thoughtful timing to align with partnership planning cycles, support for the process, and an eye towards the collaboration's long-term goals appear important for developing model understanding and practice. Skepticism about evaluations, and unease at exposing weaknesses, may hinder the effort. Acceptance of findings and associated opportunities for improvement by group leadership, support a growing sense of validity. Next steps aim to test the approach in other partnerships, streamline the methodology for greater ease of use, and seek possible correlations of strategy management assessments with performance evaluation. There is hardly a better example than the COVID-19 pandemic, to spotlight the need for efficient and effective clinical research partnerships to address global health challenges. While heartened by the collaborative spirit driving the effort so far, we cannot let our enthusiasm lull us into thinking that nobility of purpose or an abundance of good will is sufficient. Careful monitoring and adjustment of clinical research strategy in response to changes (e.g., demographics, pathogen evolution, research acceptance, political and cultural environments) are vital to making the needed adjustments that can guide these programs toward successful outcomes. We hope that our work can raise awareness about the importance, relevance, and feasibility of sound strategy management in clinical research partnerships, especially during this time when there is so much at stake.

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Dataset Information

Health Sciences Libraries Advancing Collaborative Clinical Research Data Management in Universities.

Publications

Health Sciences Libraries Advancing Collaborative Clinical Research Data Management in Universities.

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