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Guidelines for evaluation of Core Records
Model A: Information to be reported when communicating the efficacy of core
level cataloging in original cataloging operations
- Type of Library
- Public
- College
- University
- Special
- Identify levels of cataloging compared
- Core level compared to full level original cataloging
- Core level compared to minimal level original cataloging
- Core level compared to full level and to minimal level original cataloging
- Describe level of authority work completed for each level of
cataloging compared
- No authority work
- Local authority work only
- Full NACO authority work
- Number of headings created over duration of experiment
- Full SACO
- Number of headings proposed over duration of experiment
- Describe the sample for each level of cataloging compared
- Sample size (number of titles)
- Format(s)
- Subject area(s)
- Language(s)
- Library's classification scheme(s)
- Span of imprint dates
- Describe the unit of measure to be used in the comparison*
- Overall productivity over the duration of the experiment
- Production rate per individual cataloger per specified subunit of
time
- Average productivity per cataloger over duration of the experiment
- Cost per item processed
- Describe the methodology of the comparison
- Staffing **
- Number of staff involved
- Level of staff
- Years of experience of participating catalogers
- Duration of experiment
- How is data collected/reported?
- Are any of the components of task separately timed?
- Searching for copy
- Authority work
- Classification
- Shelf listing
- Data collection
- Revision
- Other
- How are they timed/measured?
- Other special conditions/activities/controls
* Apply measurement equally to both core and comparison level(s) and describe
all components which are used to derive the measurement. For example, if the
comparison is expressed as a cost number, are benefits included in the calculation
of staff costs?
** In order to be meaningful, number, level and years of staff might be best
expressed as a matrix which clarifies the inter-relationships between these
data. If a matrix is not used, it is important that these inter-relationships
be explicitly described in some way.
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