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article · Open MIND · 2017

Testing, identifying and classifying OpenURL access problems

Sunshine Carter, Jeff Peterson

Cited by 0Open access

Abstract

Presented May 10th, 2017 at the ELUNA conference in Schaumburg, Illinois.<br><br>The University of Minnesota Libraries embarked on a mission to determine linking errors from third-party databases to full-text content through Alma’s link resolver. Come hear how the University Libraries tested, identified and classified access problems with OpenURLs. This presentation focuses on Alma, but much of it can be applicable to other link resolvers (e.g. SFX or 360 Link).

Cite this paper

APA 7

Carter, S., & Peterson, J. (2017). Testing, identifying and classifying OpenURL access problems. Open MIND. https://doi.org/10.6084/m9.figshare.5035931

MLA 9

Carter, Sunshine, and Jeff Peterson. “Testing, identifying and classifying OpenURL access problems.” Open MIND, 2017, https://doi.org/10.6084/m9.figshare.5035931.

Chicago

Carter, Sunshine, and Jeff Peterson. 2017. “Testing, identifying and classifying OpenURL access problems.” Open MIND. https://doi.org/10.6084/m9.figshare.5035931.

Harvard

Carter, S. and Peterson, J. (2017) ‘Testing, identifying and classifying OpenURL access problems’, Open MIND. Available at: https://doi.org/10.6084/m9.figshare.5035931.

BibTeX
@article{carter2017testing,
  title = {{Testing, identifying and classifying OpenURL access problems}},
  author = {Carter, Sunshine and Peterson, Jeff},
  journal = {Open MIND},
  year = {2017},
  doi = {10.6084/m9.figshare.5035931}
}

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