This report describes use cases for machine learning relevant to the OCUL consortium and recommends projects utilizing machine learning technologies. It also considers key contextual issues such as ethical concerns, technical capacity, available expertise, and infrastructure needs. All sections are drafts with some sections more fully developed than others
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |
