NDS refers to a modular, extensible, framework for sharing and publishing research data across all disciplines of science and engineering. This data can come from individual researchers or large collaborations and projects. The data may be produced by experiments, surveys, instruments, or computer simulations, or it may represent new processing and synthesis of existing data. Such data is expected to serve as the basis for scientific results published in professional and academic journals. The NDS provides support for sharing the models and software associated with the data and its analysis.
The NDS provides essential services for finding, using, sharing, and publishing data. NDS brings together archives, libraries, federations and other data resource across many disciplines and communities. NDS builds on the standards and infrastructure for sharing data being put into place by those communities. A unifying architecture for NDS allows for numerous tools and community-specific services to plug into the NDS framework and also to extend and enhance the NDS as it grows and matures.
The NDS Consortium is an alliance of communities, projects, publishers and other stakeholders that will participate in the NDS federation. Its aims are to coordinate the efforts of the participating organizations as well as inform the development and evolution of the NDS architecture.