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    1. June 2023 | Issue 407 | Duke University Medical Center Library Online

      Systematic Reviews and Meta-analysis . In Zipkin, D (Ed), Teaching Evidence Based Medicine: A Toolkit for Educators (pp. 163-174).

    2. Scholarly Communications @ Duke - Page 31 of 58 - Discussions about the changing world of scholarly

      His analysis of the problems with publishing are fairly familiar, while his discussion of preservation and archiving was new and (...)

    3. Education as Transformation: An Aspiration in Need of Operationalization - Duke Learning Innovation

      One curriculum design theory that has been helpful to the TLIC group in framing an analysis of transformative learning is a model known (...)

    4. https://blogs.library.duke.edu/magazine/files/2020/02/DUL-AR2019.5pgs.pdf

      But they all come together to meet the teaching and research needs of the entire Duke community. And they’ll be happy to show you (...)

    5. Survey Says: The Who, Why, What Answers you have been Waiting for! - Bitstreams: The Digital Collect

      Sean wrote about  data analysis approaches we took to detect scholarly use , and I wrote about a survey we launched in Spring 2015 .  

    6. Scholarly Communications @ Duke - Page 19 of 58 - Discussions about the changing world of scholarly

      First, it reminds us that libraries are always adapting to the changing needs of their patrons, many of which today are driven by rapid (...)

    7. https://sites.fuqua.duke.edu/fordlibrary/page/37/

      These new books include analysis by financiers Henry Paulson and George Soros, as well as economists Joseph Stiglitz and Nouriel Roubini.

    8. Scholarly Communications @ Duke - Page 33 of 58 - Discussions about the changing world of scholarly

      So my advice on this matter will always be tempered with a risk analysis for the University and a discussion of how the benefits of a (...)

    9. Introducing the Digital Humanities to Graduate Students - Duke University Libraries Blogs

      What does it mean for a text analysis program to discern “topics” in a corpus?  

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