OCLC Research Library Partnership Work-in-Progress Webinar Dennis Massie A Glimpse of the ILL Yeti: Stalking the Big, Big Picture of System-wide Collection.

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Presentation transcript:

OCLC Research Library Partnership Work-in-Progress Webinar Dennis Massie A Glimpse of the ILL Yeti: Stalking the Big, Big Picture of System-wide Collection Sharing Program Officer, OCLC Research 5 May 2015

What’s an “ILL Yeti” anyway? How the study came to be Phase One: looking at the big picture Current phase: going pixel (pixal?) What comes next Questions and discussion Today’s Stalking Itinerary

What’s an “ILL Yeti” anyway?

Not a sick Sasquatch

How the study came to be

Current Interlending Landscape Fragmented – Many systems in play Opaque – Statistics reported in gross numbers Evolving – New models and methods emerging 6

OCLC ILL statistics 7 FY13FY12FY11FY10FY09 ILL requests8,858,3689,192,1899,587,42910,248,94210,279,215 Year on year4% 6%0.29% Between FY09 and FY13, OCLC ILL has seen a 14% reduction in total number of ILL requests. Anecdotal evidence tells us that US libraries are seeing an ongoing increase in their borrowing. OCLC wants to learn more about various trends in fulfillment.

The Elusive Big Picture Is resource sharing activity across the entire library community increasing, decreasing, or staying the same? Are there similarities among those libraries where activity is decreasing, and among those where it is increasing? What factors determine the selection of a model or method for each borrowing request? 8

Made up of 11 institutions with active, sophisticated, innovative resource sharing operations Some long-established members, some newer members Involved in all manner of consortial arrangements within and outside the group Would serve as an excellent illustration of current trends in the research library community 9

Phase One: looking at the big picture

ARL ILL Stats for 11 BD Institutions Filled Requests

Our ILL Stats for 11 BD Institutions Filled Requests 12

ARL vs Our Study Why might the numbers differ?  Institutions with multiple libraries and with complex ILL set-up’s might not have reported all activity to us.  Both sets of data are self- reported, and possibly compiled by different people.  Potential fiscal/calendar confusion  Overall, study participants reported 97.9% of what was reported to ARL. 13

Our Borrow Direct Numbers (99.7% agreement between borr & lend) 14

Our OCLC Numbers Filled Requests 15

Our RapidILL Numbers Filled Requests 16

Our Docline Numbers Filled Requests 17

Proportion by Sharing Venue (Other = Web form, ALA form, , CCC, other circ-to-circ groups) 18

Do you net lend or borrow, trend up or down? All 11 BD institutions Venue Overall BD OCLC RapidILL Docline Other 19 = Net borrower = Net lender Trending up from previous year Trending down from previous year

BD, OCLC, and RAPID Comparison Filled Requests 20

BD, Combined C2C, OCLC, and RAPID Comparison -- Filled Requests 21

Current phase: going pixel

Total activity by date joined 23

Total activity by date joined 24

Total activity by date joined 25

ARL vs Our Study Why might the numbers differ?  Institutions with multiple libraries and with complex ILL set-up’s might not have reported all activity to us.  Both sets of data are self- reported, and possibly compiled by different people.  Potential fiscal/calendar confusion  Overall, study participants reported 97.9% of what was reported to ARL. 26

% ARL Numbers Reported to Us 27

% ARL Reported, by “Era” Group 28

Do you net lend or borrow, trend up or down? All 11 BD institutions Venue Overall BD OCLC Rapid Docline Other 29 = Net borrower = Net lender Trending up from previous year Trending down from previous year

Do you net lend or borrow, trend up or down? 3 “founding” institutions Venue Overall BD OCLC Rapid Docline Other 30 = Net borrower = Net lender Trending up from previous year Trending down from previous year

Do you net lend or borrow, trend up or down? 4 “joined in 2002” institutions Venue Overall BD OCLC Rapid Docline Other 31 = Net borrower = Net lender Trending up from previous year Trending down from previous year

Do you net lend or borrow, trend up or down? 4 “newbie” institutions Venue Overall BD---- OCLC Rapid Docline Other 32 = Net borrower = Net lender Trending up from previous year Trending down from previous year

What comes next…

Next Steps Individual profiles for all 11 institutions Look for cause and effect Seek insight into strategic thinking Break down returnables versus nonreturnables Look at fill rates Track reciprocal interactions via OCLC ILL Report out generically Report to BD cohort in detail Repeat study with CIC (this time with POD) 34

Are we there Yet(i)?

Questions? Comments? 36

Explore. Share. Magnify. ©2015 OCLC. This work is licensed under a Creative Commons Attribution 3.0 Unported License. Suggested attribution: “This work uses content from ‘A Glimpse of the ILL Yeti: Stalking the Big, Big Picture of System-wide Collection Sharing’ © OCLC, used under a Creative Commons.“ Attribution license: Thanks for participating! Dennis Massie