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Clowder is a cloud native data management framework to support any research domain. Clowder was developed to help researchers and scientists in data intensive domains manage raw data, complex metadata, and automatic data pipelines.
Clowder is not a central system, but software that research labs and individual users can install on local clusters or in the cloud. Clowder is data agnostic, but can be customized for specific data types through a sophisticated information extraction bus and web based visualization plugins.
Clowder is also a community of practitioners working on data intensive research projects and developing tools that work across research domains.
The first version of Clowder (v1) has been in development for over ten years and it has been used in various domains. A new version of Clowder, v2 is currently in development. v2 builds on lessons learned from current and prior use cases and is being developed with two major goals in mind:
We are always looking for new collaborators, contributors, and ideas in the space of research data management.
A data management system that allows users to share, annotate, organize and analyze large collections of datasets. It provides support for extensible metadata annotation using JSON-LD and a distribute analytics event bus for automatic curation of uploaded data.
This is an implementation of the International Image Interoperability Framework (IIIF) Presentation API V3
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