CEIRS Data Processing and Coordinating Center (DPCC)

Client Situation

The National Institute of Allergy and Infectious Diseases (NIAID) Centers of Excellence for Influenza Research and Surveillance (CEIRS) network is comprised of over 50 research and surveillance institutions in 22 countries. This large size and wide geographical distribution made it challenging for DMID to fulfill one of the major tenets of the CEIRS mission of enabling seamless sharing and public dissemination of high quality datasets that have the potential to advance scientific discovery. 

The CEIRS Data Processing and Coordinating Center (DPCC) was created to alleviate this challenge by providing a central platform for scientific research data collection, sharing, and tracking.

The Digital Infuzion Solution

The inter-disciplinary nature of Digital Infuzion’s approach to solutioning took into account both the scientific research needs of the CEIRS network and the technical requirements of the DPCC solution. Digital Infuzion developed and drove the adoption of CEIRS-wide data standards that contribute to increasing the scientific value of the scientific datasets now shared with the scientific community at large.

  • A robust and sustainable data processing and collaboration center
  • New tools to facilitate collaborative research
  • A centralized and comprehensive data repository that could be leveraged in the future for scientific analysis and in-silico research
  • A centralized platform where scientists can access data, find collaborators, and promote influenza research
  • A privileged destination for the general public to learn about influenza research conducted at individual CEIRS Centers


Through the creation of the DPCC, Digital Infuzion has provided the DMID with a modern, flexible, and Cloud-hosted solution that has demonstrably increased the volume, quality, and reusability of the massive amounts of scientific data generated by the CEIRS network. 

The CEIRS DPCC now provides a centralized platform to:

  • Streamline sharing of data generated by CEIRS with public databases
  • Increase the participation of CEIRS in data sharing with the scientific community
  • Increase the accessibility and usefulness of CEIRS data
  • Create an infrastructure for advanced data processing and management informatics
  • Serve as an integrated resource for training, support, education, and collaboration