Clowder is a research data management system designed to support any data format and multiple research domains. The core software has been in development for the past five years with funding from a variety of sources. Clowder is open source software and we are always looking for collaborators and contributions. You can try the demo site or start installing the software on your resources. If you have any questions please email us or join us on HipChat.
Clowder contains three major extension points: preprocessing, processing and previewing. When new data is added to the system, whether it is via the web front-end, or through the RESTful web services, preprocessing is off-loaded to extraction services for extracting appropriate data and metadata. The extraction services attempt to extract information and run preprocessing steps based on the type of the data, for example to create previews. This raw metadata is presented to the user in the Clowder web interface.
Extend the system by creating new extractors to analyse data. Many languages are supported.
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Support for both machine-created and user-created metadata.
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A short list of publications related to Clowder: