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A Library-based Data Retrieval and Management Training Program for Clinical Researchers Open Access (recommended)
Presented at the Research Data Alliance 17th Plenary Meeting, April 20-23, 2021 in Edinburgh, Scotland (Virtual).
- Resource type(s)
- Data Science
Research Data Management
- Attribution 4.0 International
Carson, Matthew Brandon
Shaw, Pamela L
Schneider, Daniel Handley
We are developing an end-to-end training program that introduces clinician researchers to clinical database architecture and clinical coding standards, teaches them how to translate their research questions into queries that will allow them to extract data properly, and how to do so in a way that supports transparency and reproducibility while still respecting guidelines for proper data sharing. This work builds on longstanding partnerships with the Northwestern Medicine Enterprise Data Warehouse (NMEDW) through which we promote improved communication and collaboration between data analysts and clinical researchers to make them better partners in research projects. We also provide workflows for preservation and reusability of research reports through our next-generation research data management (RDM) system. Our ultimate goal is to bolster support for our local research community to use clinical research data from the NMEDW and also parlay this experience to develop a blueprint of best practice workflows that could be applied in libraries at other institutions.
- Original Bibliographic Citation
Carson MB, Gonzales S, Shaw P, Schneider D, Holmes K. A Library-based Data Retrieval and Management Training Program for Clinical Researchers. Research Data Alliance 17th Plenary Meeting; April 20-23; Edinburgh, Scotland (Virtual); 2021.
- Related URL
DigitalHub. Galter Health Sciences Library & Learning Center
- Date Created
- Subject: MESH
Database Management Systems
- Grants and funding
National Library of Medicine (NLM), National Institutes of Health (NIH), Grant Number 1UG4LM012346
National Institutes of Healths National Center for Advancing Translational Sciences, Grant Number UL1TR001422
- File Properties
Mime type: application/pdf
File size: 3452.8 kB