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Managing Serials with Evergreen
A Case Study of Hekman Library at Calvin College
Why Serials Management?
• High volume of throughput
• Large number of repetitive tasks
• Fine-grained details of great importance
Challenges of Serials Management
• Take advantage of general predictability and repeatability
• Allow for very frequent exceptions
• Accommodate wide variety of management practices
• Manage metadata level holdings, physical level copies, and business level information
Evergreen Serials Model
Metadata
Physical
Business
Metadata – Basics of MFHD
• MARC Format for Holdings Data
• Often pronounced as “muff-head”
• Standard, often computable way to share volume, part, and copy information
• Incorporates publication patterns as part of the standard
MFHD Example
• Field 853• Caption and Pattern statement• Often one per record
• Field 863• Enumeration and Chronology statement• Often many per record
• Other paired fields – 854/864, 855/865• Field 866 – Textual (i.e. non-standardized) Holdings
Metadata Management
• Goal – Internalize and automate the MFHD record editing so that the serials worker can concentrate on the physical item workflow
• Benefits
• Greater accuracy
• Easier integration
Evergreen Serials Model
Metadata
Physical
Business
Physical – The Issuance Table
• Primary workspace and data source for serials
• Every serial ‘piece’ will have it’s own entry
• Critical fields include
• Date Expected
• Date Received
• Series Label Information
• Claimed?
• Shelving Unit
Physical – The Shelving Unit
• Shelving Units are generic containers of one or more issuances
• May be used to represent a single issue, a volume of issues, an entire shelf of volumes, etc.
• The entire unit is represented by a single call number
• Therefore, each copy represents an entire unit
Shelving Unit – Use Cases
• Library does not circulate serials• Free to have any number of Units• Simplest case – single unit for entire run, single call
number• Library circulates current issues only
• One Unit per current issue (may have multiple copies) – use ‘Auto per Issue’ feature
• At least one unit for any bound volumes• Library circulates bound volumes
• One Unit per bound volume – use ‘Auto per Volume’ feature
• May also have Unit per unbound issue
Business – Not Included
• While some of the structures are in place, links to the acquisition structure will be a future development task
Standard Workflow
1. Create MFHD record, including prediction pattern statement
2. Generate one or more issuances based on pattern in MFHD
3. Receive issuances
• automatically generates/edits enumeration and chronology statements in MFHD
• creates call number and copy records as needed
4. Return to step 2
Primary Serials Interface - Preview
Workflow Exceptions
• Types of problems
• Claims
• Prediction pattern exceptions (issue cancelled, extra issue, date changed, etc.)
• Manual Shelving Unit, call number, and copy management
• Will be handled as needed by separate interfaces
More Information
• Credits
• Dan Wells, Library Programmer Analyst
• Steven Putt, Electronic Services Librarian
• For the latest version of this presentation, please visitwww.calvin.edu/library/downloads/eg-serials-presentation-2010.zip