18 research outputs found
Experiences in deploying metadata analysis tools for institutional repositories
Current institutional repository software provides few tools to help metadata librarians understand and analyze their collections. In this article, we compare and contrast metadata analysis tools that were developed simultaneously, but independently, at two New Zealand institutions during a period of national investment in research repositories: the Metadata Analysis Tool (MAT) at The University of Waikato, and the Kiwi Research Information Service (KRIS) at the National Library of New Zealand.
The tools have many similarities: they are convenient, online, on-demand services that harvest metadata using OAI-PMH; they were developed in response to feedback from repository administrators; and they both help pinpoint specific metadata errors as well as generating summary statistics. They also have significant differences: one is a dedicated tool wheres the other is part of a wider access tool; one gives a holistic view of the metadata whereas the other looks for specific problems; one seeks patterns in the data values whereas the other checks that those values conform to metadata standards. Both tools work in a complementary manner to existing Web-based administration tools. We have observed that discovery and correction of metadata errors can be quickly achieved by switching Web browser views from the analysis tool to the repository interface, and back. We summarize the findings from both tools' deployment into a checklist of requirements for metadata analysis tools
Predicted temporal variation of .
<p>(a) Average midventricular for global fibre models (with ) and the Karadag model. (b) Comparison of predicted for the simulation with the Karadag fibre model and transverse isotropy and measured in mouse<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0092792#pone.0092792-Zhong1" target="_blank">[31]</a>.</p
Helix and sheet angle variation.
<p>(a) Transmural models of the helix angle for four of the global rule-based fibre models. (b) Transmural models of sheet angle .</p
Global metrics and .
<p>(a) and (b) for the different fibre models, with transversely isotropic material law.</p
Predicted temporal variation of .
<p>(a) Average midventricular for global fibre models (with ) and the Karadag model (b) Comparison of predicted for the simulation with the Karadag fibre model and transverse isotropy and measured in rat <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0092792#pone.0092792-Daire1" target="_blank">[29]</a>.</p
Stiffness parameters values for the material law (eq. (5)).
<p>Stiffness parameters values for the material law (eq. (5)).</p
Mechanical mesh properties.
<p>Mechanical mesh properties before (pre-P) and after (post-P) passive expansion under pressure. Length unit is . See <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0092792#pone-0092792-g001" target="_blank">Figures 1(a)</a> –1(b) for reference to the ellipsoid parameters.</p
Predicted temporal variation of .
<p>(a) Average for global fibre models (with ) and the Karadag model.(b) Comparison of predicted for the simulation with the Karadag fibre model and transverse isotropy and measured in mouse <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0092792#pone.0092792-Zhong1" target="_blank">[31]</a>.</p
Effect of sheets on Lagrangian strains.
<p>Average midmyocardial (a) and (b) with transverse isotropy, orthotropy with the linear sheet model and orthotropy with bimodal sheet model, in the case of Karadag fibre model.</p
Parameters of the monodomain equation (eq. (3)).
<p>Parameters of the monodomain equation (eq. (3)).</p