RAMADDA, the Repository for Archiving, Managing and Accessing Diverse DAta, was originally developed at the Unidata Program Center and is now an Open Source project managed by Geode Systems, LLC. RAMADDA is a full-featured scientific data management system, allowing you to store virtually any type of scientific data, manage access to and sharing of the data, and generate quick visualizations of many data types. You can both add and access data remotely over the network. RAMADDA acts as a repository for data you collect, a mechanism to share data with project colleagues, and an easy way to publish data for wide access when you are ready. Robust access controls let you control who can view or retrieve your data at any point in your project's lifecycle.
RAMADDA fits into your data management workflow if you want to store your project data and metadata in a remotely-accessible online repository with a robust web interface. Because RAMADDA can store and organize many types of files, you can use it to contain product documents and products created through your analysis of your data as well. Depending on where and how your data are collected, you may be able to upload them directly to your RAMADDA server on collection.
Full-featured user access controls allow you to assign permission to store and modify data and documents to project staff, while providing different levels of access to other groups or to the general public. Built-in visualization capabilites allow you to take a quick look at your data right within the RAMADDA web interface, or to download the full dataset (or even a subset of the data) for use in another visualization or analysis tool.
RAMADDA servers can run in a variety of configurations, including as a “stand alone” server, using an existing servlet container such as Tomcat or Glassfish running locally, or as part of a cloud-computing installation such as Amazon EC2.
Unidata community members can rely on the Unidata Program Center for help installing and configuring a RAMADDA server to manage (and potentially share) project data.
For more information, see: RAMADDA.