Data+Management,+Infrastructure,+and+Archiving+for+Time+Domain+Science

Data Management, Infrastructure, and Archiving for Time Domain Science

Organizer: David Schade

This workshop will explore how the science requirements for time domain studies influence design and implementation decisions about data management and archiving. Science requirements typically have impact on not only the front-end services (for example, user data access, integration with the Virtual Observatory) but the requirements also push back all the way to the observatory, influencing observing decisions and metadata collection procedures at the telescope. The requirements for the storage, processing, and networking infrastructure that supports data management are also science-case driven.

The most obvious requirement for time domain studies is that things happen quickly to enable follow-up of transient events. The need for fast execution of processing and detection steps is clear and will be made more challenging when very large data volumes are involved. Less clear are the need for specialized database infrastructure or potential special requirements for long-term curation of the data. What is needed in terms of archiving to support downstream secondary science from data obtained to study the time domain? All of these areas, and others, are open for discussion by those developing systems for time domain science and those just thinking about it.