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Zack Lane ReCAP Coordinator April 5, 2011 ReCAP Columbia University

ReCAP Data Management Committee

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ReCAP Data Management Committee. Zack Lane ReCAP Coordinator April 5, 2011. ReCAP Columbia University. ReCAP Data. What do we have? Where can we find it? Who is using it? How are we using it? How do we want to use it? What does(n’t) it tell us?. ReCAP Columbia University. - PowerPoint PPT Presentation

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Page 1: ReCAP  Data Management Committee

Zack LaneReCAP Coordinator

April 5, 2011

ReCAPColumbia University

Page 2: ReCAP  Data Management Committee

ReCAPColumbia University

What do we have? Where can we find it? Who is using it? How are we using it? How do we want to use it? What does(n’t) it tell us?

Page 3: ReCAP  Data Management Committee

ReCAPColumbia University

October 28, 2008◦ Accessions: 3,071,233◦ Requests: 222,526◦Request rate: 1.91%

ReCAP Coordinator position has changed from 3-year contract to permanent staff position

As of March 1, 2011◦ Accessions: 3,766,891◦ Requests: 419,679◦ Request rate: 2.09%

Page 4: ReCAP  Data Management Committee

ReCAPColumbia University

ReCAP Data Center contains data sets, contextual information and presentations

All information is publicly accessible Variety of topics and issues Includes special projects Constant updates

Page 5: ReCAP  Data Management Committee

ReCAPColumbia University

Up-to-date accessions to calculate cost-sharing (Kris Kavanaugh)

Request rate and potential service impact for Butler Media Center preservation project (Nancy Friedland)

Department websites (Susan Hamson) New Barnard Library Delivery Point (Lisa

Norberg) Extending duration of holds (ASCC) Limiting EDD requests to only patrons with

borrowing privileges (ASCC)

Page 6: ReCAP  Data Management Committee

ReCAPColumbia University

The history of CUL accessions at ReCAP can be divided into three periods:

FY01/02-FY03/04, Load In. Large-scale transfer to clear onsite backlog and at obsolete off-site facilities; 500k per year

FY04/05-FY09/FY10, Middle Phase. Continued effort to clear backlog, re-purpose library space and offset collection growth; 300k per year

FY10/11-, Restricted Phase. Slow-down a result of budget, delaying planned construction of new module; 150k per year

Page 7: ReCAP  Data Management Committee

ReCAPColumbia University

0

100000

200000

300000

400000

500000

600000

700000

800000

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

Total Accessions by Fiscal Year

LOAD IN MIDDLE PHASE 3rd

Page 8: ReCAP  Data Management Committee

ReCAPColumbia University

424 total languages Top ten language in ReCAP collections

◦ English : 49.9%◦ German : 7.8%◦ Japanese : 5.5%◦ Chinese : 5.4%◦ French : 5.2%◦ Spanish : 3.9%◦ Russian : 3.8%◦ [none] : 2.4%◦ Italian : 2.1%◦ Korean : 1.4%

Page 9: ReCAP  Data Management Committee

ReCAPColumbia University

Measure of collection use

CUL targets low-use material for transfer

Target requst rate is 2.0% per annum

Page 10: ReCAP  Data Management Committee

ReCAPColumbia University

Is this number correct?◦ Yes, verify that items belong explicitly to BMC.

CLIO location off,bmc. What does it mean exactly?

◦ Higher than average requests from smaller than average collection.

How can I track statistics?◦ BMC/ReCAP website

Can we distinguish requests by format?◦ DVD : 7.81%◦ VHS : 12.2%

Page 11: ReCAP  Data Management Committee

192,433 different titles requested from ReCAP (2,063,044 titles at ReCAP)

8,885 titles request 5 or more times since ReCAP opened

Those 8,885 titles account for 134,920 requests or 34.1% of all requests

To compare: August 2009: 6,234 titles, 95,449 requests and 33.0% of all ReCAP requests

ReCAPColumbia University

Page 12: ReCAP  Data Management Committee

ReCAPColumbia University

ac1.1%

am25.3%

as54.4%

bc5.8%cm

0.3%

dm0.0%

em0.0%

es0.0%

gm0.3%

im0.0% jm

0.2%

pc10.8%

tc0.5%

tm1.1%

ts0.2%

Breakdown of High-Use Title Request by Format

Page 13: ReCAP  Data Management Committee

ReCAPColumbia University

An ultra-high-use title is any title that has been requested 100 or more times since accession

136 titles accounting for 28,516 requests or 7.2% of all requests

These titles are roughly half archival collections and half serials

Print vs non-print

Page 14: ReCAP  Data Management Committee

ReCAPColumbia University

ac2.7%

am1.3%

as49.0%

bc11.0%

pc33.6%

tc2.4%

Breakdown of Ultra-High-Use Title Request by Format

Page 15: ReCAP  Data Management Committee

ReCAPColumbia University

Impact on service points Physical traffic of CUL collections Access model for patrons Opportunities for instruction Reduce costs Usage patterns differ for print vs non-print,

languages, publication dates, etc.

Page 16: ReCAP  Data Management Committee

ReCAPColumbia University

Monographs : all records with format “am” Only include complete dates 1850-2010 Substantial holdings of monographs

published between 1950 and 1990 Post-2003 materials were transferred

directly to ReCAP at the time of acquisition Approximately 30,000 new acquisitions per

year are sent directly to ReCAP Further analysis indicates that recent

publications are requested by patrons at a higher rate

Page 17: ReCAP  Data Management Committee

ReCAPColumbia University

0.00%

5.00%

10.00%

15.00%

20.00%

25.00%18

50

1854

1858

1862

1866

1870

1874

1878

1882

1886

1890

1894

1898

1902

1906

1910

1914

1918

1922

1926

1930

1934

1938

1942

1946

1950

1954

1958

1962

1966

1970

1974

1978

1982

1986

1990

1994

1998

2002

2006

2010

Request Rate of Monographs by Publication Date:1850-2010

Page 18: ReCAP  Data Management Committee

ReCAPColumbia University

Page 19: ReCAP  Data Management Committee

ReCAPColumbia University

CUL advertises delivery “within two business days”

ReCAP’s “business day” is defined according to the file transfer times

Business day is 6:00am-2:45pm, Monday to Friday

In this model 35.7% of requests are filled in one business day

All other requests are filled in two business days

Page 20: ReCAP  Data Management Committee

ReCAPColumbia University

0

5000

10000

15000

20000

25000

30000

35000

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23

Request Volume by HourFY02-FY09 (total: 289,140)

Page 21: ReCAP  Data Management Committee

ReCAPColumbia University

0

10000

20000

30000

40000

50000

60000

Monday Tuesday Wednesday Thursday Friday Saturday Sunday

Request Volume by WeekdayFY02-FY09 (total: 289,140)

Page 22: ReCAP  Data Management Committee

ReCAPColumbia University

Physical delivery has been constantly rising as more collections are accessioned

EDD volume had been dropping per capita due to accessibility of electronic backfiles

In January 2009, Health Sciences Library began transferring serial collections

EDD volume began to rise both in aggregate and in proportion to physical delivery

Page 23: ReCAP  Data Management Committee

ReCAPColumbia University

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 Requests by Type

EDD

Physical Delivery

Page 24: ReCAP  Data Management Committee

ReCAPColumbia University

0

100

200

300

400

500

600

700

800

3/1/

2002

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

Monthly EDD Volume:Health Sciences vs All Other Departments

Health Sciences

All Other Departments

Page 25: ReCAP  Data Management Committee

ReCAPColumbia University

One measure of collection usage (among many)

Includes Circulation transactions Internship project, Summer 2010 Became OCLC Research Webinar, soon to

be publication From data we can look at user behavior

and detect policy changes

Page 26: ReCAP  Data Management Committee

ReCAPColumbia University

13,326 14,951 17,615 21,383 25,083 28,029 27,524 21,896

557,501 552,788

509,556

483,905

449,135 441,188 437,064

331,930

0

100000

200000

300000

400000

500000

600000

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

CHARGES: Offsite vs. Onsite by Fiscal Year

Offsite

Onsite

Page 27: ReCAP  Data Management Committee

ReCAPColumbia University

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

GRD OFF REG VIS

Ratio of CHARGES to RENEWALS by Patron Group

Sum of RENEWALS

Sum of CHARGES

Page 28: ReCAP  Data Management Committee

ReCAPColumbia University

0

5000

10000

15000

20000

25000

30000

35000

40000

CHARGES to Patron Group by Month

GRD

OFF

REG

VIS

Page 29: ReCAP  Data Management Committee

ReCAPColumbia University

0

5000

10000

15000

20000

25000

30000

35000

40000

45000

RENEWALS to Patron Group by Month

GRD

OFF

REG

VIS

Page 30: ReCAP  Data Management Committee

ReCAPColumbia University

Dynamic updates to categories and topics of major interest

Regular mechanisms for information sharing and feedback

More granular circulation data Comparison with other non-ReCAP data sets ReCAP Coordinator more efficient at

providing data

Page 31: ReCAP  Data Management Committee

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