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JUSP: The University ofPortsmouth ExperienceSarah WestonData ManagerUniversity Library
BackgroundAt Portsmouth we do not currently have an ERM system orusage statistics packagesUsage data is stored locally and...
Benchmarking activitiesInitial venture into ‘Big Deal’ benchmarking was around 18-24 months ago – adopted a teamwork appro...
Initial processDecided to focus on three medium sized deals and adopteda two strand approach                   Activity A ...
Key issues• For a three year period this was time consuming and  involved lots of steps• Obtaining accurate title lists (c...
Internal Coding                  • Colour coding was                    adopted to distinguish                    PRE X su...
What could JUSP do for us?We like JUSP and it is doing more for us on a month bymonth basis!Our needs:• On-going time seri...
A few of our favourite things!Having already started to add our subscribed titles the ‘titles versus deals’ reportenables ...
A few of our favourite things!Downloading a copy of the CSV file for this report you can see that someadditional informati...
Titles included in deals across multiple yearsThe titles within deals over time report gives at a glance information ofhow...
Publisher usage by title and yearThe most valuable report for our benchmarking, eliminating a significant numberof steps a...
Titles and usage rangeThis report is likely to be important, one of our internal benchmarks has been threefigure usage. Th...
ImpactThe portal manipulates our usage data and significantlyreduces the number of steps prior to our own analysisOur benc...
Where do we go from here?The portal provides us with an accurate record of titles andusage in a deal over timeAllows us to...
Summary • The portal provides us with a valuable ‘one stop shop’ • It has assisted us with our internal processes • Contin...
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Sarah Weston - JUSP workshop April 2012

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Sarah Weston’s presentation on University of Portmouth’s use of JUSP.

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Sarah Weston - JUSP workshop April 2012

  1. 1. JUSP: The University ofPortsmouth ExperienceSarah WestonData ManagerUniversity Library
  2. 2. BackgroundAt Portsmouth we do not currently have an ERM system orusage statistics packagesUsage data is stored locally and retrieved from multipleadministration accounts. Currently collecting data from 60+different sources in relationship to electronic journals alonePrimary objective of our internal benchmarking was toevaluate our ‘Big Deals’, determine value for money andprovide a sound evidence base to assist decision making
  3. 3. Benchmarking activitiesInitial venture into ‘Big Deal’ benchmarking was around 18-24 months ago – adopted a teamwork approachKeen to explore the extent to which we felt our deals wereproviding us with value for money and to look at theimplications if we were to consider cancellationsAt that time we did not have the benefit of JUSP and so ourearly activity was a little ad hoc and not necessarily themost time efficient in terms of process
  4. 4. Initial processDecided to focus on three medium sized deals and adopteda two strand approach Activity A Activity B Obtain full title lists across multiple Access usage from publisher platforms years and track changes Amalgamate any usage from Obtain lists of PRE X subs aggregator/host platforms Obtain title counts for deals Remove any archive data Obtain costs data Match usage with deal titlesHaving determined the number of titles in the deal on a year by year basis, howmuch they cost and how much they were used ((JR1-JR1a) + Aggregator +Host) it was possible to do some cost per use calculations
  5. 5. Key issues• For a three year period this was time consuming and involved lots of steps• Obtaining accurate title lists (current and old) was not always easy• Records of PRE X subs did not always match• No one place to access information and data formats often differed• Needed to remove all of the ‘weird and wonderful’
  6. 6. Internal Coding • Colour coding was adopted to distinguish PRE X subs from titles within the deal • Titles were also tracked to show at what points they entered the deal as this was important in terms of calculations
  7. 7. What could JUSP do for us?We like JUSP and it is doing more for us on a month bymonth basis!Our needs:• On-going time series of data• Usage amalgamated from all sources• Ability to easily identify PRE X subs and titles within the deal over time• Ability to extract title usage relating to open access, trials etc.• Need to include some elements of print (on our own here!)
  8. 8. A few of our favourite things!Having already started to add our subscribed titles the ‘titles versus deals’ reportenables us to identify titles within our deal which is our baseline for analysis andseparate the PRE X titles to accurately benchmark our costs
  9. 9. A few of our favourite things!Downloading a copy of the CSV file for this report you can see that someadditional information has been added in terms of aggregator usage
  10. 10. Titles included in deals across multiple yearsThe titles within deals over time report gives at a glance information ofhow deal content has changed to facilitate accurate reporting
  11. 11. Publisher usage by title and yearThe most valuable report for our benchmarking, eliminating a significant numberof steps and providing an accurate time series upon which to import our own data
  12. 12. Titles and usage rangeThis report is likely to be important, one of our internal benchmarks has been threefigure usage. The ability to see at a glance the breakdown of package usage will behelpful
  13. 13. ImpactThe portal manipulates our usage data and significantlyreduces the number of steps prior to our own analysisOur benchmarking had focused on smaller deals, however,this will make our larger reports much easier to manageand time efficient to produceWe have not always known exactly what we have wantedand some of the more experimental reports have beenparticularly welcomed
  14. 14. Where do we go from here?The portal provides us with an accurate record of titles andusage in a deal over timeAllows us to produce accurate reports into which we cannow import cost data and subsequently calculate costs perdownload either within deal or at title levelFrom this we are able to apply some our own internalcriteria for benchmarking and look at titles within a certaincost per download banding, three figure usage, Pre X subsor status of the title as determined by faculty/departments
  15. 15. Summary • The portal provides us with a valuable ‘one stop shop’ • It has assisted us with our internal processes • Continues to evolve and responds to user needs

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