The Journal Usage Statistics Portal (JUSP) http://www.flickr.com/photos/koenvereeken/2088902012/

Who?

JISC Collections National initiative for licensing online journals on behalf of the higher and further education and research communities in the UK SHEDL aims through collaboration and combined purchasing power to achieve a shared digital library in Scotland WHELF's mission is to promote library and information services co-operation and to encourage the exchange of ideas among University and Higher Education libraries in Wales

Background and aims Supports UK academic libraries by providing a single point of access to e-journal usage data Assists management of e-journals collections, evaluation and decision-making Provides statistics to ensure the best deals for the academic community http://www.flickr.com/photos/nostri-imago/3137422976/

Purpose and benefits Single point of access to usage data from multiple publishers No need to visit separate publisher sites to download usage statistics Usage comparison across publishers and years Establishing value for money http://www.flickr.com/photos/wallyg/418328695/

Libraries in JUSP 100 libraries in JUSP All UK higher education institutions are welcome to participate (160+) 10 new libraries per month http://www.flickr.com/photos/ellf/3910635234/

Publishers and intermediaries in JUSP American Institute of Physics (AIP) Annual Reviews Edinburgh University Press (EUP) Elsevier Institute of Physics (IOP) Nature Publishing Group Oxford University Press Project MUSE Royal Society of Chemistry SAGE Springer 3 intermediaries Ebsco EJS Publishing Technology (ingentaconnect) Swets http://www.flickr.com/photos/27205670@N00/543219767/

How do we collect data? Standardized Usage Statistics Harvesting Initiative (SUSHI) M2M way of gathering statistics Replaces the user-mediated collection of usage reports 12 JUSP SUSHI clients available SUSHI server to gather data from JUSP http://www.flickr.com/photos/ragingwire/3395161474/

What data are we collecting? COUNTER usage reports JR1 Journal Report 1: Number of Successful Full-Text Article Requests by Month and Journal JR1a Journal Report 1a: Number of Successful Full-Text Article Requests from an Archive by Month and Journal Slide 2 Without COUNTER of course none of this would be possible because for the portal to succeed it must offer reliable data. All our reports are based on the main COUNTER reports the JR1 and the JR1a.   http://www.flickr.com/photos/bionicteaching/2920562020/

What data are we presenting? JUSP report type JUSP report title Journal level reports JR1 and JR1A reports JR1 reports inc gateways and intermediaries JR1 reports excluding backfile usage Summary reports SCONUL return Summary of publisher usage Summary use of gateway and host intermediaries Summary use of backfiles Tables and graphs Which titles have highest use Number of titles and requests in usage ranges Experimental reports NESLi2 deals Titles vs NESLi2 deals Individual journal search and usage Breakdown of publisher usage (title and year) Benchmarking Calendar and academic year (available to JISC)

You can see from this screen shot that: You can choose any time period You can sort by title or by total number of requests. You can download the report as a csv file You can see a chart showing your top 5 titles with this publisher

Here you can see the usage reported by the publisher (in this case Springer) and the usage reported through IngentaConnect, EbscoEJS and Swetwise, then a total which includes all usage. Often libraries are not sure when to add this usage, but where a library is making heavy use of one of these intermediaries it will make quite a difference to their total. Again, you can choose your time period, download as csv file, and sort by title, total or by publisher or intermediary – so you can highlight the titles that users are getting at through intermediary – here the screen shot is sorted by Swets so the titles most accessed through swets appear first.

Here we’re subtracting rather than adding, as the JR1 includes all usage, including backfiles. If you take away the JR1a figure from the JR1 you can see usage of the current deal separately. In this screenshot, its sorted by the JR1a figures, so you can see which archive figures have the heaviest use And there’s a pie chart which shows you at a glance how much usage is coming from the archive and how much from the current deal.

User feedback Gathering feedback and monitoring use Surveys Visits Ongoing dialogue

What do users want? More publishers More trend analysis More sort options Integration with other statistics packages

What do users like about JUSP? "Evidence-based library decisions rely on the timely analysis of usage statistics. JUSP has quickly matured into a highly valued service largely due to the team's skill in solving problems and presenting complex data within a clear and well-structured user interface.” “The project has a real community feel to it, in that it actively responds to user input and I think it is a really good example of collaborative working - something we should be striving towards to avoid us needing to reinvent the wheel! I think the team has worked very well with libraries in seeking their input.” "The more publishers you can get on board the better! The JUSP portal is already proving to be invaluable to us."

Impact on libraries Single point of access to data Automation provided by SUSHI offers time saving benefits COUNTER compliant usage data available for SCONUL returns Report comparisons across publishers, years and platforms Flexible methods of viewing data through tables, charts or graphs Inclusion of intermediary stats Data checked and quality assured http://www.flickr.com/photos/tal_axl/4317091958/l

Implications for the community Providing support and guidance to the community Knowledge sharing SUSHI client available as free, open source software Ongoing consultation with libraries and publishers http://www.flickr.com/photos/shareconference/5422273956/

Information and contact details Angela.Conyers@bcu.ac.uk http://jusp.mimas.ac.uk