Research Programs
Research Programs
Project Data Sphere® (PDS), in close collaboration with the FDA’s Oncology Center of Excellence, has initiated a series of data-driven research programs. The four programs provide a conceptual framework for PDS to fulfill a primary goal of fostering collaborative research communities to address pressing issues in cancer research.
These research programs convene around a shared interest among members to investigate bold new ways to analyze open-access datasets on the Project Data Sphere platform for the benefit of global oncology. Ultimately, they address the following questions: how do researchers access the information they need to conduct their research; and what information would they like to be able to access but they currently can’t?
Each program is led by a PDS program director who convenes task forces comprising life sciences investigators, academic researchers, and members of government regulatory agencies. Task force members use PDS as an independent convener to facilitate sharing of knowledge and resources to pursue common concerns in which to share knowledge and resources to pursue common concerns.
Global Oncology Big Data Alliance (GOBDA)
The Global Oncology Big Data Alliance (GOBDA) is a novel strategic organization to provide new opportunities for collaboration and cooperation. Founded on the belief that collaboration speeds innovation, GOBDA is a federation of pharmaceutical industry stakeholders working together to accelerate the delivery of new cancer therapies, particularly in areas of high unmet need.
Through Project Data Sphere, GOBDA funds pre-competitive multidisciplinary research teams of experts in oncology, data science and regulatory medicine to freely share expertise, information and analytic tools to accelerate delivery of effective treatments for cancer patients. But GOBDA members are more than sponsors; they are full participants on multi-disciplinary teams of experts pursuing a patient-centered approach to cancer research. GOBDA is currently sponsoring teams of experts to work on the following initiatives:
- Expansion of data types on Project Data Sphere’s open-access virtual platform to include imaging, genomic and real-world evidence as well as clinical trial data and the addition of SAS-enabled advanced analytic tools.
- Rare disease patient registry of real-world evidence captured from patient electronic health records from multiple clinical sites.
- Standards for collecting, categorizing and reporting on immune-related adverse events.