Eclipse Science

Interoperability is essential for scientific research and development. To address this issue, Science strives to collaboratively develop well defined interfaces, models, definitions, algorithms, and reusable software libraries, services, and applications. Specifically, Science projects provide artifacts such as libraries, user interfaces, frameworks and workflow engines that enable scientific applications and services. The nature of this work is scoped as follows:

• Standard descriptions and definitions of scientific data.

• Processing and management of n-dimensional data including both structured and unstructured grids.

• Plotting and visualizations of data in multiple dimensions.

• Workflow algorithms and their visualization.

• Machine learning, artificial intelligence, data mining, text mining and statistics.

• Modeling and simulation projects related to the physical sciences, including but not limited to physics, chemistry, biology, geology, and hydrology; and to the social sciences, including but not limited to sociology, psychology and economics.

• The collection and analysis of sample survey and experimental data from the same.

• Applied mathematics projects such as common math libraries and mesh management tools and with the exception of cryptography.

• Infrastructure to support scientific computing, such as tools for job launching and monitoring, parallel debugging, and remote project management.

• Control systems for analytical hardware.

• Tools and software to support data provenance

• Data storage tools, libraries and associated technologies to promote interoperability.