recap data part 2: requests

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Zack Lane ReCAP Coordinator July 2011 ReCAP Columbia University

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ReCAP Data Part 2: Requests. Zack Lane ReCAP Coordinator July 2011. ReCAP Columbia University. Findings: Requests. Request volume grew each year from the opening of ReCAP until FY09 Since FY09 the total has grown very slowly Impact of mass digitization is unknown - PowerPoint PPT Presentation

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Zack LaneReCAP Coordinator

July 2011

ReCAPColumbia University

ReCAPColumbia University

Request volume grew each year from the opening of ReCAP until FY09

Since FY09 the total has grown very slowly Impact of mass digitization is unknown Monthly requests are in phase with the

academic calendar Net decline from busy to slow months is

approximately 33% Collections are increasingly renewed Average user requests follow 80/20 rule

The terms request and retrieval are used interchangeably in most ReCAP documentation

ReCAP tracks retrievals; CUL tracks requests

There is not a one-to-one correspondence Majority of data corresponds Since granular data is available only for

requests, ReCAP Coordinator uses it for analysis

ReCAPColumbia University

ReCAPColumbia University

Barcode Delivery Location Default Delivery

Location Date Time Type Patron Group Bib ID UNI Hashed UNI

Format Publishing Date Language Title Holdings ID Call Number Enumeration/

Chronology Item ID CLIO Location Fiscal Year

443,311 total requests since ReCAP opened◦ FY08 : 59,755◦ FY09 : 69,060◦ FY10 : 71,119◦ FY11 : 71,513

Includes both patron and staff requests Excludes many staff requests Represents only CUL activity at the ReCAP

facility Patron access to offsite collections is

excellent: dynamic with few failures

ReCAPColumbia University

ReCAPColumbia University

Every year CUL accessions more collections at ReCAP

With more collections at ReCAP, patrons have requested more items

Data does not include some staff requests and the Google Book Project

Volume did not significantly increase between FY09 and FY10

This may be attributable to increased renewal of offsite collections

ReCAPColumbia University

ReCAPColumbia University

2,147

14,520

26,564

35,757

42,866

50,009

59,755

69,06071,119 71,513

0

10000

20000

30000

40000

50000

60000

70000

80000

FY01/02 FY02/03 FY03/04 FY04/05 FY05/06 FY06/07 FY07/08 FY08/09 FY09/10 FY10/11

Total Request Volume by Fiscal Year

Chart compares total volume of charges to renewals for ReCAP collections

Graduate students and Faculty request more offsite collections than Undergraduates

Graduate students and especially Faculty have higher renewal/charge ratios

Over time, these two patron groups tend to renew more than charge

CUL may expect to see steady or decreasing request volume as a result

ReCAPColumbia University

ReCAPColumbia University

0

5000

10000

15000

20000

25000

30000

35000

40000

45000

FY03/04 FY04/05 FY05/06 FY06/07 FY07/08 FY08/09 FY09/10 FY10/11

Circulation of OFFSITE Collections: Charges vs Renewals

Offsite - - - Sum of CHARGES

Offsite - - - Sum of RENEWALS

Request volume is in phase with the academic calendar

Busiest months◦ Fall: October-November◦ Spring: February-April

Reduced volume between terms in Winter and Summer

In FY11 the busiest and slowest months were:◦ October: 7,195◦ May: 4,637

ReCAPColumbia University

ReCAPColumbia University

0

1000

2000

3000

4000

5000

6000

7000

80003/

1/20

02

6/1/

2002

9/1/

2002

12/1

/200

2

3/1/

2003

6/1/

2003

9/1/

2003

12/1

/200

3

3/1/

2004

6/1/

2004

9/1/

2004

12/1

/200

4

3/1/

2005

6/1/

2005

9/1/

2005

12/1

/200

5

3/1/

2006

6/1/

2006

9/1/

2006

12/1

/200

6

3/1/

2007

6/1/

2007

9/1/

2007

12/1

/200

7

3/1/

2008

6/1/

2008

9/1/

2008

12/1

/200

8

3/1/

2009

6/1/

2009

9/1/

2009

12/1

/200

9

3/1/

2010

6/1/

2010

9/1/

2010

12/1

/201

0

3/1/

2011

6/1/

2011

Monthly Request Volume: FY02-FY11

ReCAPColumbia University

32,965 patrons have placed at least one request

Most frequent requesters are staff, requesting for both patron and internal purpose

9.8 requests per user (excluding top staff) Dividing users into between 10+ and <10

◦ 10+ account for 17.3% of population and 78.3% of all requests

◦<10 account for 82.7% of population and 21.7% of all requests

More information about data sets can be found on the ReCAP Data Center website

Primary data categories include: accession, retrieval, delivery and circulation

Tailored data sets and analysis will be provided to staff via the ReCAP Coordinator

Please see the main ReCAP website for general information about CUL procedures and systems

ReCAPColumbia University