LibValue Database

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Nozik B S.  1974.  A stochastic model to predict demand for library services. Dissertation:154.
Nourbakhsh E, Nugent R, Wang H, Cevik C, Nugent K.  2012.  Medical Literature Searches: A Comparison of PubMed and Google Scholar. Health Information & Libraries Journal. 29(3):214-222.
North Suburban Library System, Reference Librarians Association, Public Library Association.  1992.  Reference evaluation project. :37p..
Nolen DS, Powers A C, Zhang L, Xu Y, Cannady RE, Li J.  2012.  Moving Beyond Assumptions: The Use of Virtual Reference Data in an Academic Library. portal: Libraries and the Academy. 12(1):23-40.
Nitecki DA.  2010.  Joy to the World of Metrics. Journal of Academic Librarianship. 36(2):117-118.
Nitecki DA, Franklin B.  1999.  User Satisfaction White Paper.
Nitecki DA.  2011.  Space Assessment as a Venue for Defining the Academic Library. Library Quarterly. 81(1):27-59.
Nimon M.  2001.  The role of academic libraries in the development of the information literate student: the interface between librarian, academic and other stakeholders. Australian Academic & Research Libraries. 32(1):43-52.
Nicholson S.  2004.  A conceptual framework for the holistic measurement and cumulative evaluation of library services. Journal of Documentation. 60(2):164-182.
Nicholson S.  2010.  Inviting the World Into the Online Classroom: Teaching a Gaming in Libraries Course via YouTube. Journal of Education for Library and Information Science. 51(4):233-240.
Nicholson S.  2006.  Proof in the pattern: Librarians Follow the Corporate Sector Toward More Data-Driven Management. Library Journal. 131(1):2-6.
Nicholas D, Clark D, Rowlands I, Jamali HR.  2009.  Online use and information seeking behaviour: institutional and subject comparisons of UK researchers. Journal of Information Science. 35(6):660-676.
Nicholas D, Rowlands I, Clark D, Huntington P, Jamali HR, Ollé C.  2008.  UK scholarly e-book usage: a landmark survey. ASLIB. 60(4):311-334.
Nicholas D.  2008.  If we do not understand our users, we will certainly fail. The E-Resources Management Handbook. :122-129.
Nicholas D, Huntington P, Watkinson A.  2005.  Scholarly journal usage: the results of deep log analysis. Journal of Documentation. 61(2):248.
Nicholas D, Huntington P, Jamali HR, Tenopir C.  2006.  Finding Information in (Very Large) Digital Libraries: A Deep Log Approach to Determining Differences in Use According to Method of Access. Journal of Academic Librarianship. 32(2):119-126.
Nicholas D, Huntington P, Jamali HR.  2008.  User diversity: as demonstrated by deep log analysis. Electronic Library. 26(1):21-38.
Neurohr K, Ackermann E, O'Mahony DP, White LS.  2013.  Coding Practices for LibQUAL+ Open-Ended Comments. Evidence Based Library & Information Practice. 8(2):96-113.
Neal JG.  2011.  Stop the madness: the insanity of ROI and the need for new qualitative measures of academic library success. ACRL Conference. :424-429.
Nazari M.  2010.  Design and process of a contextual study of information literacy: An Eisenhardt approach. Library & Information Science Research. 32(3):179-191.
National Information Standards Organization.  2007.  The Standardized Usage Statistics Harvesting Initiative (SUSHI) Protocol. :34.
National Center for Education Statistics.  2010.  Academic Libraries. Library Statistics Program.
Nadiri H, Mayboudi S M A.  2010.  Diagnosing university students' zone of tolerance from university library services. Malaysian Journal of Library & Information Science. 15(1):1-21.