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Building on sand? Using statistical measures to assess the impact of electronic services Dr Angela Conyers evidence base research & evaluation UCE Library.

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Presentation on theme: "Building on sand? Using statistical measures to assess the impact of electronic services Dr Angela Conyers evidence base research & evaluation UCE Library."— Presentation transcript:

1 Building on sand? Using statistical measures to assess the impact of electronic services Dr Angela Conyers evidence base research & evaluation UCE Library Services UCE Birmingham

2 Why collect usage statistics? What statistics to collect? How to collect them? How to analyse them? How can libraries be assisted in this task? Key questions

3 E-measures project funded by HEFCE working with 25 UK higher education libraries www.ebase.uce.ac.uk/emeasures/index.htm NESLi2 study of usage statistics funded by JISC working with 17 UK higher education libraries www.ebase.uce.ac.uk/projects/NESLi2.htm

4 Because they’re there Because SCONUL has asked for them To help with promotion and user support For budgeting and decision-making To aid bench-marking Why collect usage statistics?

5 1. Identify type of resource: Serials Databases E-books Digital documents Virtual visits Electronic enquiries What usage statistics to collect?

6 2. Identify reliable statistics: COUNTER compliance: Serials: JR1 report – number of full-text article requests – 40 publishers/suppliers Databases: DB1 report – total searches and sessions by month and database – 13 publishers/suppliers - DB2 report – total searches and sessions by month and service – 15 publishers/supplier E-books: new draft COUNTER code of practice What usage statistics to collect?

7 Identify sources of statistics Collect passwords Download Establish where gateway statistics to be added Encourage all suppliers to be COUNTER compliant How to collect?

8 1.Identify supplementary information required: –Cost of deal (subscribed titles and e-access costs) –Lists of subscribed titles –Number of FTE users –Total library serials budget How to analyse?

9 2. Identify groupings: –Usage range –Price band –Subject category –Subscribed/unsubscribed titles How to analyse?

10 Nil and low use (under 10 requests) nil use 1-4 requests 5-9 requests Medium use (10-99 requests) 10-49 requests 50-99 requests High use (100 or more requests) 100-499 500-999 1000-9999 10,000 plus Usage range

11 Unpriced: those for which no price could be found Low price – under £200 Medium price - £200-399 High price - £400-999 Very high price - £1,000 and over Price band

12 Subject category: STM (science, technology & medicine) HSS (humanities and social sciences) Subscribed and unsubscribed titles Other groupings

13 Average cost per request – all requests Average cost per request – subscribed titles Average cost per request – unsubscribed titles Cost per FTE user Cost per title Yield per £ for access to unsubscribed titles Assessing value for money

14 NESLi2 study main recommendations to the JISC: –Clearer, more transparent deals –Review of pricing and cancellations policies –Portal site for publisher usage statistics –More support to libraries in monitoring usage- toolkit, workshops etc How can libraries be assisted with the task?

15 NESLi2 study main recommendations to the higher education library community: –Libraries to ensure they have sufficient internal resources to manage and analyse usage data –Libraries to be encouraged to take a more joined-up approach to the management of print and e-journal resources How can libraries be assisted with the task?

16 Workshops Tool-kits Benchmarking groups Outsourcing Angela Conyers Angela.Conyers@uce.ac.uk www.ebase.uce.ac.uk The future?

17 Some results –full-text article requests

18 Some results – costs

19 Some Conclusions Number of full text article requests considerably higher in large old universities in this study Overall increase in usage 2003-4 Balance of usage and costs generally led to similar range of costs across large and small universities Low average cost per request Small % of titles generated high usage Low use titles were mostly low price High use titles were generally high cost STM titles most heavily used. Data limitations


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