How University of Bath is using JUSP

Lizz 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 parties

May not take into account use of archives

Changes 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Data checked by JUSP team so errors and discrepancies are noticed and corrected/withdrawn quickly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 identifiers

Identifies usage from third parties

Includes use of archives

Easy 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