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  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: Johnston, Lisa; Newman, Linda; Koshoffer, Amy, and Neeser, Amy
    Submitter: Amy Koshoffer
    Rights: Attribution-ShareAlike 4.0 International
  2. The Quest for Digital Preservation: Will a portion of mathematics history be lost forever? : preprint

    Work
    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
    Language: English
    Date Uploaded:
    Date Modified: 2018-09-27T23:07:29Z
    Date Created: 2016
    Rights: Attribution-NonCommercial-NoDerivs 4.0 International
    Note: Pre-print of a chapter in the "Research in History and Philosophy of Mathematics", the proceedings of the CSHPM 2015 Annual Meeting in Washington, D.C., editors Zack, Maria and Landry, Elaine, published by Springer International Publishing, 2016. ISBN 9783319466156 (online); ISBN 9783319432694 (print).
    Genre: Book Chapter
  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

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    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

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    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

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    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

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    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 Please use the Citation: Koshoffer, A., Neeser, A., Johnston L.R., and Newman L.D., (2018) "Giving datasets context: a comparison study of institutional repositories that apply varying degrees of curation", International Digital Curation Conference, Barcelona, Spain. Digital Curation Centre.
    Creator/Author: Koshoffer, Amy; Newman, Linda; Neeser, Amy, and Johnston, Lisa
    Submitter: Amy Koshoffer
    Publisher: University of Cincinnati
    Language: English
    Date Uploaded:
    Date Modified: 2018-10-27T01:47:08Z
    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