In 2014, the HiPSTAS Project received a second round of funding from the NEH, from the Preservation and Access Division’s Research and Development grant for HRDR (HiPSTAS Research and Development with Repositories). The project concluded in December, 2017.
Goal: to develop software (ARLO) to help users automate metadata description for undescribed sound collections.
Products include:
- open source software (ARLO) :
- Prototype site: https://live.arloproject.com
- Main documentation: https://live.arloproject.com/docs/
- Root project for all ARLO code repositories: https://bitbucket.org/arloproject
- workshops and documentation for wider dissemination and training:
- Developer documentation: ADAPT: http://arloproject.com/devdocs/adapt/
and Nester: http://arloproject.com/devdocs/nester/ - Plugin documentation: https://live.arloproject.com/docs/plugins.html#arlojobplugin
- Installation guides for development / testing: VM install walkthrough: https://bitbucket.org/arloproject/arlo-vagrant/overview and VPS install walkthrough: https://bitbucket.org/arloproject/arlo-vagrant/src/74cf93377dd923ad119251cc73d655f96e332f1f/docs/aws_deploy.rst?fileviewer=file-view-default
- Developer documentation: ADAPT: http://arloproject.com/devdocs/adapt/
- Demo for Plugin development: at=master&fileviewer=file-view-default”>https://bitbucket.org/arloproject/arlo-nester/src/0d0092a6f4e95064a75bc5be9a9b46709e00890a/plugins/TestJobPlugin/TestJobPlugin.py?”>at=master&fileviewer=file-view-default
- Demonstration sequences in Jupyter notebooks for several dozen tools and tasks are publicly available through GitHub: https://github.com/hipstas.
- A white paper detailing best practices in generating descriptive metadata for audio collections in the humanities.