Massie, Dennis2025-09-242025-09-242017Batt, Steve. (2012) Public Tableau profile. Academic Libraries Survey 2012, National Center for Education Statistics, U.S. Department of Education, interactive Web site. https://public.tableau.com/profile/ct.census.data#!/vizhome/AcademicLibrariesSurvey2012/Story1 Birch, Katie, and Dennis Massie. (2014) The Borrow Direct Cohort: a proposed survey of the group’s overall resource sharing activity. Unpublished presentation to the Borrow Direct Policies Committee, June 24, 2014. Data updated via email from OCLC product manager Tony Melvyn, February 9, 2016. Delaney, Thomas G., and Michael Richins. (2012), “RapidILL: an enhanced, low cost and low impact solution to interlending,” Interlending & Document Supply, Vol. 40 No. 1, pp. 12-18. Nitecki, Danuta, A. and Jones, Carol, L. (2004), “Borrow Direct: its impact on service quality at Yale University library,” Interlending & Document Supply, Vol. 32 No. 3, pp. 146-151. Phan, T., Hardesty, L., and Hug, J. (2014). Academic Libraries: 2012 (NCES 2014-038). U.S. Department of Education, Washington, DC: National Center for Education Statistics. Retrieved July 3, 2016 from http://nces.ed.gov/pubsearch. Roche, Marilyn M. (1993) ARL/RLG Interlibrary Loan Cost Study: a joint effort by the Association of Research Libraries and the Research Libraries Group. Washington, D.C.: The Association, 1993. Steadman, Phillip. (2001) Vermeer’s Camera: uncovering the truth behind the masterpieces. New York: Oxford University Press, 2001.https://repository.ifla.org/handle/20.500.14598/6173In an environment where library administrators emphasize the virtues of evidence-based decision making, the resource sharing community has access to only a small proportion of the transactional data it needs. Most have access to data from only those groups in which they are active, generated by the resource sharing systems they use. No complete global picture is available. Worse, the most often quoted cost data associated with interlibrary loan activity is more than a decade old and does not cover newer models of sharing library materials. This paper reports on recent efforts by OCLC Research, in consultation with library practitioners, to draw fresh conclusions about current resource sharing costs and trends by studying carefully-selected snapshots of data. Those snapshots include: 1) five years’ worth of collection-sharing data contributed by libraries from two large resource sharing consortia; 2) the results of structured interviews conducted with interlending staff from those consortia; and 3) lessons learned from building an ILL Cost Calculator designed to function as a real-time virtual ILL cost study. By extrapolating from these small samples of data and experience, OCLC Research demonstrates how we might come to a better understanding of our “macro” collection-sharing world by going selectively “micro” – much as Vermeer is rumored to have created some of his most famous masterpieces using the camera obscura technique.enAttribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/Articlehttps://2016.ifla.org/programme/satellite-meetingsopen accessResource sharingcost studydata miningconsortiainterlibrary loan