- Resource discovery -- taxonomic and geographic coverage; collecting/collector history (expeditions?); ancillary collections and data sets, such as tissues, field notes, measurements, inventories.
- Provide guidelines for referencing collections and specimens in both human readable and machine actionable forms
- Integrate registration of data providers with collection-level descriptions, including material that is not yet digital
- Estimating the scope of digitization work to be done; conversely, summarize what has been digitized
- Data quality assessment
- tracking undigitized collections (need to discover them first)
- allow / deal with merging / splitting collections
- it is suggested that "we" authoritatively manage the IDs necessary to implement this. Will need to use contextual clues embedded in records to disambiguate.
- exactly which parts of these records need to be (must be) machine readable? example: collectionCodes confusion, who are the contacts for what purpose
- prototype. Will there be a public interface for humans to update? Some (most?) of this will be via an API - not human-mediated. So how do these fit / link so everyone can fulfill their role.
- access / curatorial control: Authorization (Authentication), Curation, Accreditation
- authority. Who are the authors of this data?
- life-cycle issues. what can we learn about life-cycle issues from the publishers?
- branding is an issue making sure collections (and individuals?) can be tracked - credited - attributed.
- collection outreach / invitation. We will need carrots / incentives to invite / include people in this endeavor. We need a model (is there one)?
- can we use this as a way to bootstrap curation of collections data? (future)