The discussion focused around the attributes of scholarly projects and the comments and people associated with them that can then be used for discovery tools.
Attributes that describe a single work that can be used to enable discoverability of new works
- who is reading it
- properties of people reading it, and of the authors (university, location, field, etc.)
- tags (user generated and author generated)
- citation network, and network of citations to reviews/responses
- reading habits of people participating in a discussion of a paper
- associated funding
- corpus of a paper
- associated social media and habits of social media
How do we use those attributes to enhance discoverability?
- Aggregation by tags, sorting by scores or other properties – date, time, etc.
- Build networks of influence based on group of people, then see what the ‘most influential are reading/reviewing, or build a network of papers based on a circle of people and their reading habits
- You want to find things that are near each other in a given ‘space’ – can use information for people as well as information about a product and its content
- Must have ability to stumble on something highly related, even if not reviewed.
- Concentrating on pieces that bridge multiple fields and seeing where else they go
- Visualize connections of these tags
- Overlays of a paper that convey some of this information