Journal Usage Statistics Portal (JUSP): a simpler way to measure use and impact http://www.flickr.com/photos/koenvereeken/2088902012/

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Presentation transcript:

Journal Usage Statistics Portal (JUSP): a simpler way to measure use and impact http://www.flickr.com/photos/koenvereeken/2088902012/

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/

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

Benefits for libraries and publishers No need to visit multiple publisher sites to download usage statistics Usage comparison across publishers and years Establishing value for money Publishers and intermediaries - Added value for customers Libraries have accurate figures to help assess value Includes usage through intermediaries http://www.flickr.com/photos/wallyg/418328695/

Publishers and intermediaries in JUSP American Institute of Physics (AIP) Annual Reviews Elsevier 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/

Standardized Usage Statistics Harvesting Initiative (SUSHI) M2M way of gathering statistics Replaces the user-mediated collection of usage reports 10 JUSP SUSHI clients available SUSHI server to gather data from JUSP http://www.niso.org/workrooms/sushi/ http://www.flickr.com/photos/ragingwire/3395161474/

Libraries in JUSP 75 libraries in JUSP All UK higher education institutions are invited to participate (160+) 10 new libraries per month http://www.flickr.com/photos/ellf/3910635234/

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/

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

How does JUSP show true usage figures? + we ADD the gateway and intermediary figures where necessary _ we SUBTRACT the backfile usage (JR1a report) from the JR1 report http://www.flickr.com/photos/42931449@N07/5336414318/

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.

Summary reports Reports SCONUL return Publisher usage Use of gateways and host intermediaries Use of backfiles Tables and graphs Titles with the highest use

Here we’re looking at one publisher over a 4 year period so you can see from the graph how usage has gone up each year and which months show the heaviest use. We are now collecting data back to 2009, so for new libraries and publishers joining JUSP we shall have 2 full years plus ongoing current year to look at trends. This can all be done through SUSHI

Here we’re looking at the 100 titles with the highest use – you can choose one publisher or all, and all years or selected year.

Community engagement Community resource responding to what people want Working closely with libraries to understand how JUSP is being used and how it can help decision-making Developing new reports and features from user feedback Quick response rates encourage active user participation http://www.flickr.com/photos/the_approximate_photographer/5543746890/

Recent and current developments Trends over time Journal, keyword and ISSN search Breakdown of publisher usage by title and year Usage ranges Enhanced graphics http://www.flickr.com/photos/sidelong/3466698454/

Here I’ve searched for the keyword finance and got 23 matching titles.

On this screen I’ve selected 4 of the titles listed and here you can see their usage over the years.

This screen shot shows the number of titles that fall into nil, low, medium or high usage ranges – it’s an at a glance way of seeing usage patterns, which will vary with different deals. The pie chart shows this up well – in this case we have a deal where about half the titles are in the medium usage range.

User feedback mechanisms Gathering feedback and monitoring use Email, discussions, surveys and interviews Wishlist of features Agile development process

User feedback Successful aspects User interface SUSHI harvesting Report comparisons Limitations Needs to include more publishers Enhancements following user feedback

Planned developments More libraries More publishers More formats – e-books, databases More features Titles v deals Subscribed or core titles Benchmarking More help and guidance to libraries in using JUSP http://www.flickr.com/photos/nevalenx/3534994151/

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

Information and contact details angela.conyers@bcu.ac.uk jo.lambert@manchester.ac.uk http://help.mimas.ac.uk These slides are available at http://help.mimas.ac.uk/events.html Online demo at http://help.mimas.ac.uk/contact.html

Questions Questions re: data aggregation process involves a check on the data good example of the impact JUSP can have http://www.flickr.com/photos/oberazzi/318947873/