Digital Environment for Enabling Data-Driven Science (DEEDS): NSF CSSI PI Meeting 2020 Lightning Talk

We offer the Digital Environment for Enabling Data-Driven Science (DEEDS) to scientific and engineering communities everywhere, as a full-service platform that provides end-to-end support for your research investigations.

DEEDS is a systematic, secure, reliable way to conduct your research, with powerful yet user-friendly interactive support for big data, high-performance computing and shared scientific workflows.

The design and development of DEEDS is a collaborative effort, bringing together scientists and engineers from chemistry (molecular dynamics, quantum chemistry), agriculture (environmental science, ecotoxicoloy, forest biodiversity, global ecology), electrical engineering (solarPV efficiency diagnosis), civil engineering (bridge health monitoring, earthquake engineering), health and human services (nutrition science, clinical studies), biology (RNA sequencing) and computer science (infrastructure, big data, high performance computing). The platform we developed supports research activities throughout the research investigation and is effective across science domains.


Why DEEDS?

In research investigations, scientists and engineers carry out complex, long-running, team-shared activities involving the collection and integration of data, the execution of computational software, the analysis and visualization of data and software output, and the synthesis of results to produce conclusions. In most disciplines this process is done in an ad-hoc manner because existing IT platforms support only part of the investigative workflow. Many ongoing research projects do not use cyberinfrastructure to support any part of their shared investigations. This means that data, computing, analysis, and outcomes reside in disconnected environments. The lack of continuity in the research process hinders it in many ways: the process is difficult to share and difficult to validate. It compromises reproducibility of results and makes reuse and reinterpretation of data and algorithms more difficult.


With DEEDS ... research data, computing, and scientific workflows come together in datasets that you build, use and share across your entire investigation