Index Catalog // Scholar@UC

User Collection

Type:: Collection
Description/Abstract:: This collection contains data and analysis associated with the International Digital Curation Conference research paper (2018) - Giving datasets context: a comparison study of institutional repositories that apply varying degrees of curation -authored by Amy Koshoffer (University of Cincinnati), Amy Neeser (University of California Berkeley), Linda Newman (University of Cincinnati), Lisa Johnston (University of Minnesota), United States of America
Creator/Author:: Koshoffer, Amy; Newman, Linda; Neeser, Amy, and Johnston, Lisa
Submitter:: Amy Koshoffer
License:: Attribution-ShareAlike 4.0 International

0Collections

9Works

Type:: Generic Work
Description/Abstract:: What we've learned as managers and developersWhat we've learned as managers and developers Linda Newman ( newmanld@uc.edu), Glen Horton ( hortongn@uc.edu), Thomas Scherz ( scherztc@uc.edu) 2015-09-22 https://scholar.uc.edu
Creator/Author:: Horton, Glen; Newman, Linda, and Scherz, Thomas
Submitter:: Thomas Scherz
Date Uploaded:: 02/17/2020
Date Created:: 10/15/2015
License:: Public Domain Mark 1.0

Type:: Generic Work
Description/Abstract:: University of Cincinnati Libraries developed various Web 2.0 tools to enhance the Users Experience and direct access to resources through their Social Networking Portals or their browser toolbars. We developed a toolbar for Firefox and Internet Explorer. We had widgets for MySpace, Google, and Facebook. We also had desktop Gadgets for VIsta, Micrsofot Live, and Google Gadgets.
Creator/Author:: Newman, Linda and Scherz, Thomas
Submitter:: Thomas Scherz
Date Uploaded:: 01/13/2020
Date Created:: 06-06-2008
License:: Public Domain Mark 1.0

Type:: Document
Description/Abstract:: Libraries, archives, and museums have traditionally preserved and provided access to many different kinds of physical materials, including books, papers, theses, faculty research notes, correspondence, and more. These items have been critical for researchers to have a full understanding of their fields of study as well as the history and context that surround the work.
Creator/Author:: DiDomenico, Steve and Newman, Linda
Submitter:: Linda Newman
Date Uploaded:: 09/27/2018
Date Modified:: 09/27/2018
Date Created:: 2016
License:: Attribution-NonCommercial-NoDerivs 4.0 International

Type:: Dataset
Description/Abstract:: This table compares the major characteristics of the four sources repositories in in the metadata study
Creator/Author:: Koshoffer, Amy; Newman, Linda; Neeser, Amy, and Johnston, Lisa
Submitter:: Amy Koshoffer
Date Uploaded:: 07/03/2018
Date Modified:: 07/03/2018
Date Created:
License:: Open Data Commons Attribution License (ODC-By)

Type:: Document
Description/Abstract:: This table compares metadata elements for data sets in four institutional repositories and includes the Dublin Core metadata elements they map to.
Creator/Author:: Koshoffer, Amy; Newman, Linda; Neeser, Amy, and Johnston, Lisa
Submitter:: Amy Koshoffer
Date Uploaded:: 03/22/2018
Date Modified:: 05/31/2018
Date Created:: 2017-10-21
License:: Attribution-NonCommercial-ShareAlike 4.0 International

Type:: Document
Description/Abstract:: This figure compares optional and required metadata fields for data sets for four institutional repositories -UC, U Michigan, U Minnesota, and Oregon State
Creator/Author:: Koshoffer, Amy; Newman, Linda; Neeser, Amy, and Johnston, Lisa
Submitter:: Amy Koshoffer
Date Uploaded:: 03/22/2018
Date Modified:: 05/15/2018
Date Created:: 2017-10-21
License:: Attribution-NonCommercial-ShareAlike 4.0 International

Type:: Dataset
Description/Abstract:: This data set describes the Mann-Whitney U test statistical analysis of the completeness profile for data sets in four institutional repositories. It is a derivative data set from the master data set entitled "Metadata of data sets from four institutional repositories" https://scholar.uc.edu/show/pn89d657h
Creator/Author:: Koshoffer, Amy; Newman, Linda; Neeser, Amy, and Johnston, Lisa
Submitter:: Amy Koshoffer
Date Uploaded:: 01/12/2018
Date Modified:: 05/15/2018
Date Created:: 2017-09
License:: Open Data Commons Attribution License (ODC-By)

Type:: Dataset
Description/Abstract:: This data set measures the number of keywords associated with data sets in four institutional repositories. It is a derivative data set from the master data set entitled "Metadata of data sets from four institutional repositories" https://scholar.uc.edu/show/pn89d657h
Creator/Author:: Koshoffer, Amy; Newman, Linda; Neeser, Amy, and Johnston, Lisa
Submitter:: Amy Koshoffer
Date Uploaded:: 01/12/2018
Date Modified:: 05/15/2018
Date Created:: 2017-09
License:: Open Data Commons Attribution License (ODC-By)

Type:: Dataset
Description/Abstract:: This data set measures whether data sets in four institutional repositories have digital object identifiers or not. It is a derivative data set from the master data set entitled "Metadata of data sets from four institutional repositories" https://scholar.uc.edu/show/pn89d657h
Creator/Author:: Koshoffer, Amy; Newman, Linda; Neeser, Amy, and Johnston, Lisa
Submitter:: Amy Koshoffer
Date Uploaded:: 01/12/2018
Date Modified:: 05/15/2018
Date Created:: 2017-09
License:: Open Data Commons Attribution License (ODC-By)

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