Skip to Content

Search Constraints

You searched for: Creator/Author Koshoffer, Amy Remove constraint Creator/Author: Koshoffer, Amy

Search Results

  1. Dataset associated with analyzing the metadata from four US academic institutional data repositories with varying degree of curation in 2016

    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: Newman, Linda; Neeser, Amy; Koshoffer, Amy, and Johnston, Lisa
    Submitter: Amy Koshoffer
    Rights: Attribution-ShareAlike 4.0 International
  2. Boissy Lab Research Data - Koshoffer

    Type: Collection
    Description/Abstract: This collection contains research data generated during the time I worked in the Boissy lab, department of dermatology
    Creator/Author: Koshoffer, Amy
    Submitter: Amy Koshoffer
    Rights: All rights reserved
  3. Table 1 IDCC 2018 Institutional Repository Comparison

    Jm214p769?file=thumbnail
    Type: Dataset
    Description/Abstract: This table compares the major characteristics of the four sources repositories in in the metadata study
    Creator/Author: Koshoffer, Amy; Neeser, Amy; Newman, Linda, and Johnston, Lisa
    Submitter: Amy Koshoffer
    Publisher: University of Cincinnati
    Language: English
    Date Uploaded:
    Date Modified: 2018-07-03T20:46:35Z
    Rights: Open Data Commons Attribution License (ODC-By)
    Time Period: June 2016 to Dec 2016
    Required Software: pdf reader
  4. Table 3 IDCC2018 Detailed Metadata Comparison

    Ft848q68v?file=thumbnail
    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: Neeser, Amy; Johnston, Lisa; Koshoffer, Amy, and Newman, Linda
    Submitter: Amy Koshoffer
    Publisher: University of Cincinnati
    Language: English
    Date Uploaded:
    Date Modified: 2018-05-31T20:55:12Z
    Date Created: 2017-10-21
    Rights: Attribution-NonCommercial-ShareAlike 4.0 International
    Required Software: PDF reader
    Genre: Document
  5. Table 2 IDCC2018 Required and Optional Metadata Comparison

    K06987539?file=thumbnail
    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: Neeser, Amy; Johnston, Lisa; Newman, Linda, and Koshoffer, Amy
    Submitter: Amy Koshoffer
    Publisher: University of Cincinnati
    Language: English
    Date Uploaded:
    Date Modified: 2018-05-15T14:41:47Z
    Date Created: 2017-10-21
    Rights: Attribution-NonCommercial-ShareAlike 4.0 International
    Required Software: PDF reader
    Genre: Document
  6. Figure 1 IDCC 2018 Significance analysis metadata study four institutional repositories

    Work
    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: Neeser, Amy; Johnston, Lisa; Newman, Linda, and Koshoffer, Amy
    Submitter: Amy Koshoffer
    Publisher: University of Cincinnati
    Language: English
    Date Uploaded:
    Date Modified: 2018-05-15T14:59:10Z
    Date Created: 2017-09
    Rights: Open Data Commons Attribution License (ODC-By)
    Time Period: 2016-08 to 2017-01
    Required Software: software to open csv and Excel xlsx files
  7. Figure 4 IDCC2018 Keywords data sets four institutional repositories

    Vd66vz88c?file=thumbnail
    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: Neeser, Amy; Johnston, Lisa; Newman, Linda, and Koshoffer, Amy
    Submitter: Amy Koshoffer
    Publisher: University of Cincinnati
    Language: English
    Date Uploaded:
    Date Modified: 2018-05-15T15:10:20Z
    Date Created: 2017-09
    Rights: Open Data Commons Attribution License (ODC-By)
    Time Period: 2016-08 to 2017-01
    Required Software: • software to open csv and Excel xlsx files
  8. Figure 3 IDCC 2018 Digital object identifiers for data sets in four institutional repositories

    Cj82k7352?file=thumbnail
    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: Neeser, Amy; Johnston, Lisa; Newman, Linda, and Koshoffer, Amy
    Submitter: Amy Koshoffer
    Publisher: University of Cincinnati
    Language: English
    Date Uploaded:
    Date Modified: 2018-05-15T14:51:46Z
    Date Created: 2017-09
    Rights: Open Data Commons Attribution License (ODC-By)
    Required Software: software to open csv and Excel xls.x files
  9. Figure 2 IDCC2018 Documentation for data sets in four institutional repositories

    79407x20j?file=thumbnail
    Type: Dataset
    Description/Abstract: This data set describes the type and number of documentation that accompany and describe 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: Neeser, Amy; Johnston, Lisa; Newman, Linda, and Koshoffer, Amy
    Submitter: Amy Koshoffer
    Publisher: University of Cincinnati
    Language: English
    Date Uploaded:
    Date Modified: 2018-05-15T15:10:47Z
    Date Created: 2017-09
    Rights: Open Data Commons Attribution License (ODC-By)
    Time Period: 2016-08 to 2017-01
    Required Software: software to open csv and Excel xls.x files
  10. Figure 1 IDCC 2018 Percent Completeness of Data Set Metadata

    Tb09j5686?file=thumbnail
    Type: Dataset
    Description/Abstract: This data set describes the percent completeness of metadata options 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: Neeser, Amy; Johnston, Lisa; Newman, Linda, and Koshoffer, Amy
    Submitter: Amy Koshoffer
    Publisher: University of Cincinnati
    Language: English
    Date Uploaded:
    Date Modified: 2018-05-15T14:52:16Z
    Date Created: 2017-09
    Rights: Open Data Commons Attribution License (ODC-By)
    Time Period: 2016-08 to 2017-01
    Required Software: software to open csv and Excel xls.x files