Driving Innovations with Open Source Solutions
We have extensive experience working with R and Python packages. These are approved and
available under the CDISC Open Source Alliance (COSA) directory and the pharmaverse platform
where we provide support on the following packages:
A data visualization package used to create complex and
customized graphs and charts for data analysis.
A data manipulation package used to streamline data management
tasks such as filtering, grouping, and summarizing data.
A data manipulation package used to reshape data into tidy
formats for analysis.
An R package used to create interactive web applications and
dashboards for data visualization and analysis.
An open source project to map CDASH to SDTM and generate
(ADaM In R Asset Library) - Modular framework to generate ADaM
via R functions relying on community contributions
An easy to use rule editor to allow data scientists to author
rules in YAML, check and test the rule against the Conformance Rule Schema standard, and
then publish the rule.
Open Study Builder
A new approach to working with studies that once fully
implemented, will drie end-to-end consistency and more efficient processes.
A table formatting framework that provides the means to
flexibly design and build mock results summaries.
In addition to utilizing open source solutions, our
leadership sits on the CDISC Open source Alliance (COSA) board, a community-driven
platform that promotes the use of open source software in clinical research. The COSA
project directory includes a wide range of open source solutions, including data
management and analysis tools, standardization tools, and regulatory submission
By leveraging open source solutions and being part of the
R, Python and COSA community, we are able to provide flexible and customized solutions
to our clients that are both efficient and cost-effective. We are committed to staying
up-to-date with the latest open source technologies and techniques to ensure that our
clients have access to the most innovative solutions for their clinical trial needs.