Using JUSP reports to analyze journal usage and deals
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Presentation given by Chantelle Wilcox about Newman University's use of JUSP at the 'Making the Most of JUSP' workshop in Birmingham on 4th March 2015.
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Using JUSP reports to analyze journal usage and deals
- 1. EXPECT TO ACHIEVEEXPECT TO ACHIEVE Newman University Use of JUSP
- 2. EXPECT TO ACHIEVE How we use JUSP • JR1 / JR1a – Monthly • Number of titles and requests in various usage ranges (enter dates) - Monthly • View usage of titles and deals - Annually • Comparing deals Please note: All usage data on the following slides is fictional
- 3. EXPECT TO ACHIEVE JR1 / JR1a • Monthly • JR1, JR1a, and JR1 GOA reports • JR1 reports exc backfile usage – Cambridge and Oxford Journals (so doesn’t include CJDA / OJDA)
- 4. EXPECT TO ACHIEVE Number of titles and requests in various usage ranges (enter dates)
- 5. EXPECT TO ACHIEVE View usage of titles and deals
- 6. EXPECT TO ACHIEVE View usage of titles and deals (…cont)
- 7. EXPECT TO ACHIEVE View usage of titles and deals (…cont) • JSTOR - We subscribe to A&SII, A&SIII, A&SVII, Language and Literature Collection • Can’t get a breakdown of usage by collection from JSTOR • JUSP report ‘View usage of title and deals’ provides breakdown by resource
- 8. EXPECT TO ACHIEVE Comparing deals
- 9. EXPECT TO ACHIEVE Comparing deals (…cont) No Access Low Access (1-9) Medium Access (10-100) Available in Standard and Premium 114 152 90 Available only in Premium 100 102 14 Total titles 214 254 104 Percentage of titles only available in premium 47% 40% 13%
- 10. EXPECT TO ACHIEVE Core titles • Mark up titles we pay individual subscription to (not part of database / collection etc) • Can see in report we download which titles are core • Look at core titles in ‘deal’ reports – can we substitute any of our subscribed titles?
- 11. EXPECT TO ACHIEVE Questions? Chantelle Wilcox Library Digital Services Co-ordinator Newman University c.wilcox@newman.ac.uk
Editor's Notes
- Newman – based South West Birmingham – Bartley Green. 3.5k students – 2.5 FTE
- Like most people use JR1 / JR1a reports to collect FTA accesses. Also run JR1 reports excluding backfile usage, to look at our ‘current’ subscribed access.
- Monthly We collect monthly information from JUSP about usage in different categories (nil, low, medium etc…) Enter information in to this spreadsheet We then calculate: - The average at the end of the year what this usage as a percentage is We are only a small institution – we essentially think 1-9 uses in a month is OK (not low) and 10-99 is fantastic. This information goes on to inform our renewal processes
- Annually (it’s available via calendar year) Sort the report to show Direct JR1 usage, largest to smallest (then by title)
- Using same parameters provided by JUSP in usage ranges report, work out percentages for nil, low, medium use titles etc Information goes to inform renewal process
- Only available annually (calendar year) Enables us to look at cost per usage for each collection
- Based on 2013 data. For Project Muse wanted to see if we could downgrade from PM Humanities, to PM Standard Download report showing what titles were in premium, and what titles were in standard Cross matched this data against FTA data, against each title to get FTA usage. Used JUSP usage ranges to colour code nil, low, medium, high usage Counted the amount of titles in category
- So with almost half of our usage titles only being available in Premium, we decided to stay with Premium.
- Look at reports of deal usage, are there any ‘core’ titles (so therefore pay for) which aren’t really being used? We can then look in the substituting these titles for other titles that we might actually want. (With deals have to maintain existing minimum spend with publisher, but you’re often allowed to switch titles)