JUSP - The JISC Journal Usage Statistics Portal Ross MacIntyre, Mimas The University of Manchester

Timeline 1998 Nesli 2002 COUNTER* 2003 *J&Db[R1] 2004 Evidence Base report: ‘Nesli2 Analysis of Usage Statistics’ 2005 *J&Db[R2] 2006 Key Perspectives report: ’Usage Statistics Service Feasibility Study’ 2007 Content Complete report: ‘JUSP Scoping Study’ 2008 JISC ITT: ‘JUSP Scoping Study 2’ *J&Db[R3] 2009 JUSP Report 2010 April JISC fund JUSP to service

Mission to assist and support libraries in the analysis of NESLi2 usage statistics and the management of their e-journals collections. 20 NESLi2 e-journal deals/Publishers 132 HEIs taking up NESLi2 deals 3 Intermediaries (gateway/host)

DEMO of JUSPLink to JUSP Prototype

1. Single point of access to all JR1 and JR1A usage statistics as currently downloaded individually from publisher websites User informational text From this page, you can download JR1 and JR1A (archive) reports. You can select data ‘from’ & ‘to’ Interface shows Report – drop down list (JR1 (all), JR1A (archive only) Publisher – drop down list Date Span – from Month & Year – to Month & Year

2. Addition of host/gateway JR1 statistics where relevant User informational text To get a full picture of usage you may need to add usage statistics provided by other services such as Swetswise. This will depend on the publisher. Select publisher and date range to download JR1 reports with Ingenta, Swetswise, Ebsco EJS etc included where appropriate. Interface shows Report – drop down list (JR1 (all)) Publisher – drop down list Date From (m/y) & To (m/y)

3. Excluding usage of backfile collections User informational text JR1 reports include all usage. Some publishers also produce JR1A reports which give only usage of their archive or backfile collections. If you have access to these, you can download here reports that exclude backfile use and show only usage of current titles. Interface shows Publisher – drop down list Date From (m/y) & To (m/y) Data processing notes Titles in JR1 and JR1A matched by ISSN. JR1A usage subtracted from JR1.

4. SCONUL Return (Society of College, National and University Libraries) User informational text Use this data for SCONUL return, which requires total use by Publishers by Academic Year. These tables are used to look at usage trends over time, and to compare usage of the various publisher deals. Interface shows Publisher – drop down list Academic year

5. Summary table to show use of host/gateways User informational text Use this table to see how much of your total usage goes through intermediaries, e.g. Ingenta and Swetswise Interface shows Publisher – drop down list Calendar Year(s) Data processing notes Separate columns for publisher, gateway, host and total. JR1 usage shown in each. Percentage use from each source calculated.

6. Summary table to show use of backfiles User informational text Use this table to see how much of your total usage comes from backfiles Interface shows Publisher – drop down list Calendar Year(s) Data processing notes JR1 total including intermediaries. Shows percentage of total JR1 usage that comes from JR1A.

7. ‘Some more figures’ [sic] User informational text Find the average, median, (monthly) maximum number of requests, standard deviation and variance. Interface shows Publisher – drop down list Calendar year(s)

8. Which titles have the highest use? User informational text Find the (20) titles which have the highest use Interface shows Publisher – drop down list Calendar year(s) Display (20) titles with the highest usage, including publisher, title, issn, no. of requests (descending order).

9. Tables and graphs User informational text See your monthly or annual usage over time as a chart Interface shows Publisher – drop down list Calendar years Data processing notes Show table of monthly totals for each year Draw line graph

10. Benchmarking User informational text Compare usage with others in the same JISC band Interface shows Publisher – drop down list Calendar year(s) JISC Band (‘A’-’J’ & ‘All’) Data processing notes Give total for all libraries in the JISC band and average.

Usage Statistics Portal: Benchmarking functionality 76 Institutions responded to our short survey in reference to the usage statistics portal (benchmarking functionality). Our findings are as detailed below. Question 1: How useful would it be for you to benchmark your institution’s journal usage for each individual NESLi2 publisher against that of other HE institutions? (76 responses) 38 / 76 (50%) = Very useful 36 / 76 (47.4%) = Somewhat useful 2 / 76 (2.6%) = Not useful JISC Collections Benchmarking Survey – March 2010

Question 5. Regarding questions 2-4 above, please indicate which would be your preferred choice regarding benchmarking (74 responses) 37 / 74 (50%) = Named institution 23 / 74 (31.1%) = Listed anonymously (same JISC band) 14 / 74 (18.9%) = Average usage by institutions in the same JISC Band

Questions 10: Regarding questions 7-9 above, which would be your preferred choice? (74 responses) 37 / 74 (50%) = Being anonymised within my JISC Band 30 / 74 (40.5%) = Other institutions being able to see my institution's name 7 / 74 (9.5%) = Being part of an average figure for the Band I am in

Question 6. Is there any other benchmarking criteria you would like to see? Same ‘mission group’ Select our own particular subset of named institutions Similar size and structure Usage, spend and budget for resources Cost per download & cost per FTE - Student and Staff at department / subject level SCONUL divisions (RLUK, old, new, collHE) and by area Scotland / Wales would also be useful Trend over a period of years

Question 11: Please add any additional comments you would like to make If OK with the licence then comparing named institutions would be best/ Happy to be named if all institutions are named Averages are not helpful unless accompanied by other institutional data. Anonymised usage figures would be more useful Institutions within the same JISC Band can vary widely (e.g. do they have a medical school, do they still have a chemistry dept) so you really need the institution name to give any sort of useful benchmarking. Pulling data like FTE and RAE would save us all from having to do that ourselves. Would be useful for NESLi2, however the majority of our deals are outside NESLi2

Participation Agreement - Library 3.PERMITTED USES/ACTIVITIES 3.1The Institution hereby agrees to: permit the Consortium to include its COUNTER-compliant Usage Statistics in the database created for the Journal Usage Statistics Portal Service; permit the Consortium to display the COUNTER-compliant Usage Statistics via the Journal Statistics Portal Service; permit the Consortium to show the COUNTER-compliant Usage Statistics to other participating libraries in the Journal Usage Statistics Portal Service for benchmarking purposes; and be identified in the Journal Usage Statistics Portal Service by: (1) institutional name; (2) JISC Band and (3) institutional group.

Participation Agreement - Library 4.RESPONSIBILITIES OF THE CONSORTIUM 4.1The Consortium agrees to: only provide access to any COUNTER-compliant Usage Statistics collected by the Consortium to authorized users from other participating institutions in the Journal Usage Statistics Portal Service and the Consortium partners; use authentication for access to the Journal Usage Statistics Portal Service; and permit JISC Collections to use the COUNTER-compliant Usage Statistics in the Journal Usage Statistics Portal Service database for negotiation purposes with publishers within the framework of NESLi2.

Participation Agreement – Publisher/Intermediary 3.PERMITTED USES/ACTIVITIES 3.1The Publisher hereby agrees to: provide the Consortium with the COUNTER Usage Statistics of the Institutions, including by using the SUSHI Protocol; 3.1.2permit the Consortium to include the collected COUNTER- compliant Usage Statistics in the database created for the JISC Journals Statistics Portal Project; 3.1.4permit the Consortium to show all COUNTER-compliant Usage Statistics to any NESLi2-eligible Institutions for their own usage assessment and for benchmarking their own usage against that of other Institutions; permit the Institutions to use the information in the JISC Journals Statistics Portal for their SCONUL returns and any other uses agreed between the Publisher and the Consortium; provide the Consortium with usage statistics which are in compliance with the latest COUNTER guidelines; and implement the SUSHI Protocol.

Additional Identified Requirements 11.Getting price information for journals. Download list price of journals as supplied on the publishers website 12.Adding price information for journal lists. See your annual usage with information on list price for each journal 13.‘What titles are in the deal?’ 14.Adding deal information to journal lists. 15.Showing usage/non-usage of titles listed in the deal and titles not listed. 16.Summary table showing usage/non-usage of titles listed in the deal and not listed in the deal. 17.Summary table showing average and median use of titles listed in the deal and titles not listed. 18.Download area 1. Cost per request. 19.Download area 2. Usage of subscribed titles (tabular data) 20.Download area 3. Charts and graphs.

Issues SUSHI – rare indeed! Upload of publisher price lists – lack of machine-readable sources (maybe ONIX Serials – SPS?) Authority files to populate the Journal and Supplier tables Subject categorisation of journals

‘To Do’ List Production service Scaling up, more libraries, more publishers Further development of database Further exploration of ‘added value’ services e.g. adding price, subject information, dealing with title changes, publisher transfers etc Further assistance to libraries in analysing own usage Benchmarking COUNTER for eBooks

Final Observations Open Source – available to institutions or other consortia Complementary not in competition with licensed software offerings

Q&A This artwork by ADA+Neagoe, originally published in Omagiu Magazine.ADA+NeagoeOmagiu