Cargando…
Integrating data science into the translational science research spectrum: A substance use disorder case study
The availability of large healthcare datasets offers the opportunity for researchers to navigate the traditional clinical and translational science research stages in a nonlinear manner. In particular, data scientists can harness the power of large healthcare datasets to bridge from preclinical disc...
Autores principales: | Slade, Emily, Dwoskin, Linda P., Zhang, Guo-Qiang, Talbert, Jeffery C., Chen, Jin, Freeman, Patricia R., Kantak, Kathleen M., Hankosky, Emily R., Fouladvand, Sajjad, Meadows, Amy L., Bush, Heather M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8057445/ https://www.ncbi.nlm.nih.gov/pubmed/33948252 http://dx.doi.org/10.1017/cts.2020.521 |
Ejemplares similares
-
Situating dissemination and implementation sciences within and across the translational research spectrum
por: Leppin, Aaron L., et al.
Publicado: (2019) -
Building capacity for collaborative research on opioid and other substance use disorders through the Clinical and Translational Science Award Program
por: Cottler, Linda B., et al.
Publicado: (2019) -
Engagement science: The core of dissemination, implementation, and translational research science
por: Meissner, Paul, et al.
Publicado: (2020) -
Integrating community engagement with implementation science to advance the measurement of translational science
por: Gunn, Christine M., et al.
Publicado: (2022) -
Integrating dissemination and implementation sciences within Clinical and Translational Science Award programs to advance translational research: Recommendations to national and local leaders
por: Mehta, Tara G., et al.
Publicado: (2021)