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HashStore: hash-based object storage for DataONE data packages

HashStore is a server-side python package implementing a content-based identifier file system for storing and accessing data and metadata for DataONE services. The package is used in DataONE system components that need direct, filesystem-based access to data objects, their system metadata, and extended metadata about the objects. This package is a core component of the DataONE federation, and supports large-scale object storage for a variety of repositories, including the KNB Data Repository, the NSF Arctic Data Center, the DataONE search service, and other repositories.

DataONE in general, and HashStore in particular, are open source, community projects. We welcome contributions in many forms, including code, graphics, documentation, bug reports, testing, etc. Use the DataONE discussions to discuss these contributions with us.

Documentation

Documentation is a work in progress, and can be found on the Metacat repository as part of the storage redesign planning. Furture updates will include documentation here as the package matures.

Development build

HashStore is a python package, and built using the Python Poetry build tool.

To install hashstore locally, create a virtual environment for python 3.9+, install poetry, and then build or install the package with:

$ poetry install
$ poetry build

License

Copyright [2022] [Regents of the University of California]

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

Acknowledgements

Work on this package was supported by:

  • DataONE Network
  • Arctic Data Center: NSF-PLR grant #2042102 to M. B. Jones, A. Budden, M. Schildhauer, and J. Dozier

Additional support was provided for collaboration by the National Center for Ecological Analysis and Synthesis, a Center funded by the University of California, Santa Barbara, and the State of California.

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