Needles in a Haystack: Finding Qualitative and Quantitative Collaborators in Academic Medical Centers Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.1097/acm.0000000000005212
Translational research is a data-driven process that involves transforming scientific laboratory- and clinic-based discoveries into products and activities with real-world impact to improve individual and population health. Successful execution of translational research requires collaboration between clinical and translational science researchers, who have expertise in a wide variety of domains across the field of medicine, and qualitative and quantitative scientists, who have specialized methodologic expertise across diverse methodologic domains. While many institutions are working to build networks of these specialists, a formalized process is needed to help researchers navigate the network to find the best match and to track the navigation process to evaluate an institution’s unmet collaborative needs. In 2018, a novel analytic resource navigation process was developed at Duke University to connect potential collaborators, leverage resources, and foster a community of researchers and scientists. This analytic resource navigation process can be readily adopted by other academic medical centers. The process relies on navigators with broad qualitative and quantitative methodologic knowledge, strong communication and leadership skills, and extensive collaborative experience. The essential elements of the analytic resource navigation process are as follows: (1) strong institutional knowledge of methodologic expertise and access to analytic resources, (2) deep understanding of research needs and methodologic expertise, (3) education of researchers on the role of qualitative and quantitative scientists in the research project, and (4) ongoing evaluation of the analytic resource navigation process to inform improvements. Navigators help researchers determine the type of expertise needed, search the institution to find potential collaborators with that expertise, and document the process to evaluate unmet needs. Although the navigation process can create a basis for an effective solution, some challenges remain, such as having resources to train navigators, comprehensively identifying all potential collaborators, and keeping updated information about resources as methodologists join and leave the institution.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1097/acm.0000000000005212
- OA Status
- hybrid
- Cited By
- 3
- References
- 13
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4327907677
Raw OpenAlex JSON
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https://openalex.org/W4327907677Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1097/acm.0000000000005212Digital Object Identifier
- Title
-
Needles in a Haystack: Finding Qualitative and Quantitative Collaborators in Academic Medical CentersWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-03-17Full publication date if available
- Authors
-
Gina‐Maria Pomann, Tracy Truong, Mary Boulos, L. Ebony Boulware, Rebecca J. Namenek Brouwer, Lesley H. Curtis, Kristopher Kapphahn, Shokoufeh Khalatbari, Julie McKeel, Shari Messinger, Ruth O’Hara, Michael Pencina, Greg Samsa, Cathie Spino, Zidanyue Yang, Manisha DesaiList of authors in order
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https://doi.org/10.1097/acm.0000000000005212Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1097/acm.0000000000005212Direct OA link when available
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Process (computing), Resource (disambiguation), Translational research, Qualitative research, Variety (cybernetics), Leverage (statistics), Knowledge management, Computer science, Data science, Medical education, Medicine, Sociology, Operating system, Computer network, Machine learning, Artificial intelligence, Pathology, Social scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 3Per-year citation counts (last 5 years)
- References (count)
-
13Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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