Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Using JUSP eBook data at the Open University


Published on

Presentation by Alison Brock from the Open University at the JUSP update and experience exchange workshop on Thursday 13th July 2017

Published in: Data & Analytics
  • Be the first to comment

  • Be the first to like this

Using JUSP eBook data at the Open University

  1. 1. Using JUSP eBook data at the Open University Alison Brock July 2017
  2. 2. Examples of how JUSP eBook data is used 1. Assessing the value for money of a particular eBook package, or collection of titles. 2. Selecting new content using turnaways data. 3. Monitoring use of a collection over a number of years. 4. Informing our eBook purchasing strategies. 5. Harvesting eBook data directly into Alma.
  3. 3. Assessing value for money • In 2016 we decided to invest a small amount in the Institute of Physics (IOP) eBooks Release 1 package. • At the beginning of this year we wanted to see how it had been used prior to making any decisions on investing in the Release 2 package. • Using JUSP BR2 data we were able to assess the cost per use of the titles in the collection.
  4. 4. Key Performance Indicators (year): 2016 (FY15/16) METRICS Total section requests 344 Mean section requests 29 Section requests per FTE user 0.0053 £ COSTS Total resource cost £3,645.60 Cost as % of total budget 0.09 Cost per section request £10.60 Cost per FTE user £0.06
  5. 5. Assessing value cont… • We could see that 21 of the 35 titles purchased had had sections downloaded. • The cost per view was relatively high but still significantly lower that buying the title, or getting an inter-library loan. • Initial indications are that this is a worthwhile collection and the decision was made to invest in the Release 2 collection. • Throughout 2017 we will also use BR3 data to see if there are any turnaways from the Release 3 collection we haven’t bought.
  6. 6. Selecting new content • Using JUSP eBook BR3 data we wanted to see if there were any Wiley eBooks with particularly high turnaways in 2016.
  7. 7. Selecting new content cont… • The results showed very high turnaways for some titles. • However on checking some titles they were available and the turnaways happened during publisher site downtime in one month. • Once titles were checked against current availability we were able to produce a list of 40 titles with true turnaways. • These were presented to faculty librarians as a list of possible one-off purchase to spend end of year money.
  8. 8. Monitoring use of a collection • Although many of our eBook collections tend to be one- off purchases there are some we take as subscriptions. • We monitor use of our subscriptions annually and record details in a resource review report. • These gather usage data for a number of years into one place and utilise some cost and use metrics to offer comparison for use of the resource over time. • JUSP data is used where available – in this example for Credo Reference BR2 data has been used.
  9. 9.   Key Performance Indicators (year): 2012 (FY11/12) 2013 (FY12/13) 2014 (FY13/14) 2015 (FY14/15) 2016 (FY15/16) METRICS               Total section requests 49260 39823 28998 38955 48445   Mean requests 4105 3319 2417 3246 4037   Requests per FTE user 0.62 0.52 0.41 0.58 0.75 £ COSTS               Total resource cost £7,665.60 £7,894.80 £7,954.80 £8,191.20 £8,436.00   Cost as % of total budget 0.23 0.23 0.22 0.21 0.21   Cost per section request £0.16 £0.20 £0.27 £0.21 £0.17   Cost per FTE user £0.10 £0.10 £0.11 £0.12 £0.13
  10. 10. Informing our eBook purchasing  strategies • We often use JUSP data in reports to the Library  leadership team to help inform our decisions over  purchasing strategies. • A recent example involved analysis of various titles we  had bought from suppliers using different purchase  models. This was to ascertain the pros and cons of  those methods, whilst also building a case for the  purchase of a large aggregated collection of eBook  titles. 
  11. 11. Informing strategies cont… • The kinds of data used from JUSP for this analysis were  BR2 reports. We also had to use BR1 data from some  suppliers. • We analysed collections by looking at costs per section  request (or title), how many of the titles bought had been  used and how many titles were used in a number of use  ranges. • It gave us an idea of whether our purchases of older  content had been worthwhile and if evidence based  access or patron driven acquisition were value for  money.
  12. 12. Informing strategies cont… Royal Society of Chemistry 2010 2011 2012 2013 Key performance indicators (BR2)         Total titles purchased 986 1055 1135 1135 Total no. titles accessed 499 301 350 329 Total successful section requests 8959 5396 4940 4396 Mean successful section requests (month) 747 450 412 366 Successful section requests per FTE user 0.1 0.1 0.1 0.1 Title with nil use 487 754 785 806 Titles with low use (<10 requests) 251 202 223 234 Titles with medium use (10-100 requests) 237 89 121 87 Titles with high use (>100 requests) 11 10 6 8 Titles with very high use (>1000 requests) 0 0 0 0 Top 20 performing titles as % of total requests 31% 58% 43% 55%         Total package (incl. VAT)       Mean cost per title £26.11       Mean cost per successful section request (aggregate 2010 to 2013) £3.31 £2.06 £1.54 £1.25 Cost per FTE user (FTE in 2013) £0.39      
  13. 13. Harvesting eBook data into Alma • Since May 2017 we’ve been using the JUSP Sushi client to harvest our JUSP eBook usage data into Alma. This automatically collects the JUSP data for us each month for our analysis. • We can now run reports in Alma analytics to look at how our eBook collections are being used. • Types of analytics reports we can use are: –Top 10 eBook titles in the previous calendar year. –Top 5 used publishers to access eBooks in the previous calendar year.
  14. 14. Harvesting eBook data cont… • Still early days as only some 2016 and 2017 data are available but we’re hoping to refine the reports over 2017 to get good reports from the system in early next year. • Top 10 titles 2016:
  15. 15. Any questions?
  16. 16. Alison Brock, eContent Advisor Library Services The Open University Walton Hall Milton Keynes MK7 6AA