Using JUSP to help with the SCONUL return Angela Conyers Evidence Base [email protected].
How University of Bath is using JUSP
description
Transcript of How University of Bath is using JUSP
How University of Bath is using JUSPLizz Jennings – Information Librarian (E-Resources) - Chartered
Before JUSP
Lists of core titles maintained, but not matched to usage
Often asked to assess value of package based on statistics for whole platform
Process of lookups, manual checking, good memory
Statistics for particular title could involve visit to three or four sites to get true picture of demand
Before JUSP
Financial year or most recent 12 months involved matching two sets of statistics – easy for single titles, but very time consuming for packages
Time spent cleaning data where providers have put commas in titles
Only knew of data errors if it was notified on mailing lists
Data analysis
Providing analysis of package deals meant bringing together data from three or four different sources:
• Usage (one, two or more years)• Core titles / Package titles• Cost information
May not have identifiers (e.g. ISSN)May not identify usage from third partiesMay not take into account use of archivesChanges to requirements meant repeating this process
Spreadsheet of core vs package titles pre-JUSP
LOOKUP from publisher stats
LOOKUP from collection title list
LOOKUP from internal core title list
Spreadsheet of core vs package titles in JUSP
Same data, single download
After JUSP
Lists of core titles maintained and attached to usage
Can compare in single report value of package compared to core titles
Once entered, core title lists just need copying (usually done same day on request to JUSP team) and updating
Individual title statistics usually include intermediaries such as Jstor
After JUSP
Easy to obtain reports for different time periods, and data is checked so matching lists is easy.
Data checked by JUSP team so errors and discrepancies are noticed and corrected/withdrawn quickly
Can quickly obtain individual title stats for most major publishers from single site – perfect when checking subject lists
Data analysis
Providing analysis of package deals means matching cost with a list already including usage and titles
Has consistent identifiersIdentifies usage from third partiesIncludes use of archivesEasy to gather same information for previous years
Plans for 2013
Investigate use for SCONUL returns
Possibility of providing standardised package assessments
Analysis of backfile usage