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
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
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
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.
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.
This paper presented as part of the session "Infrastructures of Maintenance: Animals, Regulations and Expertise" at the Society for the History of Technology annual meeting, Philadelphia, PA.
This is the recording from the 2017-10-12 SLA Data Caucus sponsored webinar entitled "Handling Restricted and Sensitive Data"
Panelists featured are:
David Fearon – Data Management Consultant, John Hopkins U Data Archive
Sebastian Karcher – Associate Director, Qualitative Data Repository
Courtney Soderberg – Statistical and Methodological Consultant, Center for Open Science
Johanna Davidson Bleckman – Project Manager, ICPSR
The event was organized by Amy Koshoffer (University of Cincinnati) and Rebecca Kameny (Dryad Digital Repository)
Presentation presented at the Ohio Valley Group of Technical Services Librarians on May 19, 2015. Many libraries are withdrawing materials from their government documents collections. The University of Cincinnati Libraries began their withdrawal project by withdrawing tangible materials which had corresponding online equivalent versions. This presentation will explain the catalog search strategies to identify print/online equivalent materials in a collection when starting a withdrawal project. It will also discuss how a library can easily continue this as an ongoing process. There will be information provided on how all new GPO e-resource records are run against a script that identifies if the library owns a tangible equivalent, which then could be a candidate for withdrawal
Poster presented to the 2014 Charleston Conference to describe an open-source, homegrown web application to support purchasing operations at the University of Cincinnati Libraries.
