Skip to end of metadata
Go to start of metadata

You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 10 Current »

Date

  •  

Zoom link in Outlook Calendar invitation.

Notetaker: Marcia Barrett

Attendees

Not attending

Discussion items

Item

Desired Outcome

Time

Who

Notes

Discussion

Actions

Announcements

Share short pieces of need-to-know information

5 min

All

  •  

Suppress NZ record review

Understand why records are suppressed in the NZ

Determine strategy for avoiding and/or post-migration cleanup

10 min

C. Busselen

https://drive.google.com/file/d/15t5ZzNZPYV9ZVRJBah9zX0oQYQ6MvlqT/view?usp=sharing

  • The first 769 titles are ebook packages we expect to be supppressed - these are stub records. See column U, Availability.

  • Remaining majority are UCLA records. Fix for this is to prefix 019 field numbers with (suppressed). Voyager to Alma migration copies 019 field numbers to 035 field subfield z.

  • Numbers in 035 fields that lack a prefix – migration will treat it as an OCLC number.

  • Strategy - each campus will look at rows with campus availability (column U). UCSF example - RLF transfer in process

  • Option - remove OCLC number (move to 996 field) or add a non-OCLC prefix.

Review column Q, Availability, entries for your campus and prefix any 035 field numbers or move them to a 9xx field.

NZ Duplicate Title Analysis review planning

Take initial look at Duplicate Title Analysis in the NZ

Determine review process/next steps

10 min

C. Busselen

https://drive.google.com/file/d/1LVv7xJRRILxx7g9TtZKzohdNRulM17yU/view?usp=sharing

  • Very large file - 4xxK records! A small subset are records for physical items

Catherine Busselen will ask Jim to run the NZ Duplicate Title Analysis again omitting CKB records

Marcive and SCP

Review our prior recommendations for these decisions

Begin creating guidelines for cutover

20 min

TJ Kao

Harmonization-Based Data Cleanup Tasks for Vanguard Campuses

Data Cleanup Recommendations Based on Test Load Decisions, Part 2

Data Cleanup Recommendations Based on Test Load Decisions, Part 3

https://drive.google.com/file/d/171Fe6XK5vaftS4CDcqLRUsmSN_YTY6va/view?usp=sharing

  • See Records to Leave out of the NZ – must make certain there is no OCLC #. ILS DC can make this instruction more explicit.

  • See Marcive records should not be loaded in the NZ. Identify and replace prefix for OCLC with (Marcive). We’re limiting Marcive NZ records to UCSD records for quality control purposes. If campuses keep Marcive records in their IZ, the records will get stale. NZ Marcive records will be kept up to date. See Data Cleanup Recommendations Based on Test Load Decisions, part 2

  • Some data extracts were taken from current Alma Production environments, rather than the NZ file the campus created, then were used for building the NZ. Campuses need to come up with strategies to prevent unintended records being added to the NZ. Challenge is access to edited local records before Go Live.

  • We need a timeline for data extract

Once cutover plan is set, Alma campuses will meet with Ex Libris and Alma campuses to clarify how the NZ will be built and exactly how to mark records to omit from NZ.

TJ Kao will draft a strategy for Alma campuses to exclude Marcive, SCP, etc. records

Review Day 1 post migration data cleanup document

Start organizing the document

15 min

All

https://docs.google.com/document/d/14pPaqCwoiQcdG2ZbimdjZQ8IdRhGmBz2YyHoviOUUeM/edit?usp=sharing

  • Catherine added headings - Day 1, Week 1, Longer Term,, and Determined by Campus.

  • Check that Material Type is correct - importance depends on campus configuration. Are loan rules based on Material Type?

TJ Kao and Ryan Finnerty will finish moving data cleanup recommendations under the appropriate heading.

Campus report on what they have found in Test Load so far (by the record load order)

Information sharing

15 min

All

  • No labels