Per discussion at meeting 2014-06-24. See LD4L Use Cases for full set of use cases.
Use case | Documents | institutions planning to work on this use case (#local-priority) | Who | Notes |
---|---|---|---|---|
Use Case 1.1: Build a virtual collection
| Cornell (#1) | Lynette, Simeon | Lynette started Open Annotations in Hydra. Locally we think of replacing CuLLR as a key application of this use case. | |
Harvard | (Michael Vandermillen as advisor) | Library Cloud via localized Omeka | ||
Stanford | ||||
Use Case 1.2: Tag scholarly information resources to support reuse
| Cornell (#2) | Lynette | Locally this is the case of tagging many items for inclusion in CuLLR and to appear as a facet on the main D&A system (Such as "Entomology collection"). Interface must support selection of large numbers of items by criteria such as LCSH heading, in addition to selection of individual items | |
Stanford | ||||
Use Case 2.1: See and search on works by people to discover more works, and better understand people | Cornell | |||
Harvard | yes | FacultyFinder (incomplete)? | ||
Stanford | yes | CAP, local authority for SearchWork | ||
Use Case 3.1: Search with Geographic Data for Record Enrichment and Pivoting | Cornell | has code to share | Climate Change; has semantic search for synonym expansions, etc. | |
Harvard | Paolo dbpedia place stuff | |||
Stanford | yes | Geo, Darren W. has examples of architecture of ontology triples with API ... | ||
Use Case 3.2: Search with Subject Data for Record Enrichment and Pivoting | ||||
Use Case 3.3: Search with Person Data for Record Enrichment and Pivoting | ||||
Use Case 3.4: Authority tool for more accurate data entry | ||||
Use Case 4.1: Identifying related works | defer for now? | Exaclty which data? (should we narrow our data first) exactly which sort of queries? Canned examples vs. ad hoc queries. | ||
Cornell | could take it on now, but won't be first priority among use cases. Start with "one step away" cases before taking on deeper cases. | |||
Stanford | Darren W.: implementation to try to look at this – it takes weeks or months to run code against data to pull out interesting stuff??? | |||
Use Case 4.2: Leverage the deeper graph to surface more relevant works | (see 4.1) | |||
Use Case 5.1: Research guided by community usage | Cornell | Demo: would like Solr index with appropriate fields from all three institutions. Could do as harvested data from 3 institutions that Paul (Harvard) builds Stack Life on it??? Cornell and Stanford give Harvard ?? BibFrame ?? Other triples?? | ||
Harvard | Would need to refactor Stack Life code to populate Solr from linked data; it's currently populated from bib data with stack score. | |||
Stanford | ||||
Use Case 5.2: Be guided in collection building by usage | Harvard | they have Haystack - which has classification data (bib data via subject). uses API of LLC classifications. | ||
Use Case 6.1: Cross-site search | NEED WORK TO REFINE/AGREE EVEN BASICS OF USE CASE |
Essential shared plumbing
Shared infrastructure task | Institutions | Who | Notes |
---|---|---|---|
Local MARC->BibFrame conversion | Cornell | Rebecca | |
Stanford | Already done? Updates? | ||
Harvard | |||
Share BibFrame data with partners | Cornell | ||
Stanford | |||
Harvard | |||
Conversion of BibFrame->LD4L | Cornell | ||
Stanford | |||
Harvard |
Document History
Date Created | Date Last Modified | Document | Brief Description | Authors |
---|---|---|---|---|
Jun 23, 2014 | Jun 23, 2014 | 2014-06-23UseCasesSharedEditingVersion.docx (docx) | Word Doc describing each of the 6 Use Cases selected at the Stanford meeting. Includes discussion, questions, who will do what, and potential demonstrations. | Simeon Warner, Rob Sanders, David Weinberger, Tom Cramer, Rebecca Younes, and possibly others |
Use Case Distillation Call - June 4, 2014 | Notes and Action Items from the discussion on the Use Case Distillation Call | |||
(Obsolete) Use cases | Explores Use Cases by stating As a..., I want to..., Satisfied when... |