provides a platform for researchers studying plant diversity and has helped undergraduate biology students complete their honors theses examining factors affecting root growth. (Credit: Cowpea Diversity panel by James Burridge at URBC, South Africa, 2013)

We connect people and resources to accelerate discovery by empowering the science gateway community

The Science Gateways Community Institute (SGCI) was established to provide resources, services, experts, and ideas for creating and sustaining science gateways. Science gateways are online interfaces that give researchers, educators, and students easy access to specialized, shared resources that are specific to a science or engineering discipline. For example, they may connect to or between instruments (such as telescopes or sensors), data collections, specialized software, or high-performance computing.

While the use of gateways can improve the productivity of researchers significantly, the process of developing, operating, and sustaining a gateway can prove challenging and time consuming. Our services and resources aim to fill that gap. 

The SGCI is organized into five service areas.

  • Incubator: Expertise and guidance for the gateway lifecycle
  • Extended Developer Support: Enhancing gateways through technical help from experienced gateway developers
  • Scientific Software Collaborative: Leveraging and promoting existing investments in gateway technologies
  • Community Engagement and Exchange: Connecting the community through interaction, teaching, and learning
  • Workforce Development: Nurturing the next generation of science gateway users and developers


How to cite SGCI in publications

All clients are also encouraged to cite the SGCI in publications that result from the consultation using the following reference:

Lawrence, Katherine A., Michael Zentner, Nancy Wilkins‐Diehr, Julie A. Wernert, Marlon Pierce, Suresh Marru, and Scott Michael. "Science gateways today and tomorrow: positive perspectives of nearly 5000 members of the research community," Concurrency and Computation: Practice and Experience 27, No. 16 (2015): 4252-4268.