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- Type:
- Article
- Description/Abstract:
- Copyright and Digital Collections: A Data Driven Roadmap for Rights Statement SuccessThis presentation focuses on data driven research from both a survey and in person interviews to articulate a roadmap for digital collection managers to navigate copyright challenges stemming from the adoption of standardized rights statements and licenses. Barriers to implementation of the RightsStatements.org statements and Creative Commons licenses will be described, including methods to remove such objections to using the standardized rights statements. Additionally, the research will outline the workflows of institutions that have been successful in the application of RightsStatements.org statements, what barriers they met, and the methods that were used to overcome the challenges they faced.
- Creator/Author:
- Benson, Sara R. and Stitzlein, Hannah
- Submitter:
- Hannah Stitzlein
- Date Uploaded:
- 05/06/2019
- Date Modified:
- 06/07/2019
- Date Created:
- 2019-03
- License:
- Attribution-NonCommercial-ShareAlike 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)
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- 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)
-
- 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
- Date Uploaded:
- 01/12/2018
- Date Modified:
- 10/27/2018
- Date Created:
- 2017-09
- License:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Dataset
- Description/Abstract:
- This data set is the raw data underlying the paper entitled "Giving datasets context: a comparison study of institutional repositories that apply varying degrees of curation" presented at the International Digital Curation Conference in Barcelona, Spain (Feb 2018). All figures and tables in the publication were based on the analysis of this data set. 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
- Date Uploaded:
- 01/11/2018
- Date Modified:
- 10/27/2018
- Date Created:
- 2016-06 to 2017-10
- License:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Generic Work
- Description/Abstract:
- Carolyn Hansen, Metadata Librarian, and her colleague Sean Crowe, Electronic Resources Librarian at University of Cincinnati Libraries, will describe their experiences of transitioning from cataloging to metadata, which is a common occurrence for catalogers these days. As materials and projects are brought online as well as born digital, traditional cataloging sometimes does not suffice the needs of these types of collections. Their presentation is titled "From Cataloging to Metadata: Difference in Scope, Skills, and Standards" and will focus on UC's conversion of over 9,000 Dublin Core records to the VRA standard, illustrating the differences between traditional cataloging and metadata projects with technical details at the forefront. Presentation at ALA Midwinter Conference, CaMMS Cataloging Norms Interest Group, Jan. 25, 2014
- Creator/Author:
- Hansen, Carolyn and Crowe, Sean
- Submitter:
- Sean Crowe
- Date Uploaded:
- 12/12/2016
- Date Modified:
- 12/12/2016
- Date Created:
- 2014-01-25
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International