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The Hierarchical Data Modeling Framework
========================================
HDMF is a Python package for working with standardizing, reading, and writing hierarchical object data.
HDMF is a by-product of the `Neurodata Without Borders (NWB) <https://www.nwb.org/>`_ project.
The goal of NWB was to enable collaborative science within the neurophysiology and systems neuroscience communities
through data standardization. The team of neuroscientists and software developers involved with NWB
recognize that adoption of a unified data format is an important step toward breaking down the barriers to
data sharing in neuroscience. HDMF was central to the NWB development efforts, and has since been split off
with the intention of providing it as an open-source tool for other scientific communities.
If you use HDMF in your research, please use the following citation:
A. J. Tritt et al., "HDMF: Hierarchical Data Modeling Framework for Modern Science Data Standards,"
2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA, USA, 2019, pp. 165-179,
doi: 10.1109/BigData47090.2019.9005648.
.. toctree::
:hidden:
:maxdepth: 2
:caption: Getting Started
install_users
tutorials/index
.. toctree::
:hidden:
:maxdepth: 2
:caption: Overview
overview_intro
overview_software_architecture
overview_citing
.. toctree::
:hidden:
:maxdepth: 2
:caption: Resources
api_docs
extensions
building_api
export
validation
spec_language_support
.. toctree::
:hidden:
:caption: For Developers
install_developers
contributing
make_roundtrip_test
software_process
.. toctree::
:hidden:
:maxdepth: 2
:caption: For Maintainers
make_a_release
update_requirements
.. toctree::
:hidden:
:maxdepth: 2
:caption: Legal
legal
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