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University of Louisville

Data sharing

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Full-Text Articles in Translational Medical Research

Distributing Data And Analysis Software Containers For Better Data Sharing In Clinical Research, William A. Mattingly Phd, Stephen Furmanek, Christopher M. Sinclair, Timothy L. Wiemken Phd Oct 2017

Distributing Data And Analysis Software Containers For Better Data Sharing In Clinical Research, William A. Mattingly Phd, Stephen Furmanek, Christopher M. Sinclair, Timothy L. Wiemken Phd

The University of Louisville Journal of Respiratory Infections

Introduction: Data sharing in clinical research is critical for increasing knowledge discovery. Data and software tools should be FAIR: Findable, Accessible, Inter-operable and Re-usable. Many bottlenecks exist in the process of a clinical investigator using shared data including data acquisition and statistical analysis. The objective of this project is to develop a structure for sharing data and providing rapid automated statistical analysis through creation of a pre-packaged, open-source software container.

Methods: We use the open source software container technologies VirtualBox and Vagrant to create a template for sharing clinical data and analysis scripts as a single container. We use …


The Community-Acquired Pneumonia Organization (Capo) Cloud-Based Research Platform (The Capo-Cloud): Facilitating Data Sharing In Clinical Research, William A. Mattingly, Timothy L. Wiemken, Stephen P. Furmanek, Paula Peyrani, Robert R. Kelley, Julio A. Ramirez May 2017

The Community-Acquired Pneumonia Organization (Capo) Cloud-Based Research Platform (The Capo-Cloud): Facilitating Data Sharing In Clinical Research, William A. Mattingly, Timothy L. Wiemken, Stephen P. Furmanek, Paula Peyrani, Robert R. Kelley, Julio A. Ramirez

The University of Louisville Journal of Respiratory Infections

Background: Pneumonia is a costly and deadly respiratory disease that afflicts millions every year. Advances in pneumonia care require significant research investment and collaboration among pneumonia investigators. Despite the importance of data sharing for clinical research it remains difficult to share datasets with old and new investigators. We present CAPOCloud, a web-based pneumonia research platform intended to facilitate data sharing and make data more accessible to new investigators.

Methods: We establish the first two use cases for CAPOCloud to be the automatic subsetting and constraining of the CAPO database and the automatic summarization of the database in aggregate. We use …