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dc.contributor.authorChan-Park, Christina ( Orcid Icon 0000-0002-6047-9805 )
dc.contributor.authorWaugh, Laura ( Orcid Icon 0000-0002-0843-313X )
dc.contributor.authorLindsey, Nerissa ( Orcid Icon 0000-0002-7908-5769 )
dc.contributor.authorMcElfresh, Laura Kane ( Orcid Icon 0000-0001-9530-4098 )
dc.contributor.authorTmava, Ahmet ( Orcid Icon https://orcid.org/0000-0001-8845-5699 )
dc.date.accessioned2019-09-17T18:29:38Z
dc.date.available2019-09-17T18:29:38Z
dc.date.issued2019-02
dc.identifier.citationChan-Park, C., Waugh, L., Lindsey, N., McElfresh, L. K., & Tmava, A. (2019). TDR survey of institutional Dataverse liaisons. Texas Digital Library.
dc.identifier.urihttps://digital.library.txstate.edu/handle/10877/8640
dc.description.abstract

The Texas Data Repository (TDR) Steering Committee's Assessment Working Group (AWG) is tasked with evaluating the progress of the TDR. In Fall 2017, the AWG began an assessment to identify the needs for reporting on the TDR by addressing the following research questions: (1) Which usage and descriptive information about the TDR will be most valuable? (2) What process for gathering and distributing these metrics/information will be most useful?

The AWG administered a survey to aid in prioritization of assessment needs for the TDR Dataverse. The purpose of this survey is to identify the levels of institutional capacity at member institutions and provide recommendations on future assessment needs, metrics, and reporting moving forward. Data from this assessment is structured to anticipate potential usage of the TDR Dataverse and guide future work and needs in assessment, training, and continued growth.

Because the most valuable usage metrics should allow for comparative assessment across repositories globally, the AWG also compiled descriptions of metrics recommended by three sources which suggest best practices for tracking the impact of research data, including the Make Data Count Project's "Code of practice for research data usage metrics." The results from this compilation of best practices has been combined with the results of the survey to determine a prioritized list of metrics.

en_US
dc.formatText
dc.format.extent25 pages
dc.format.medium1 file (.pdf)
dc.language.isoen_USen_US
dc.subjectTexas Data Repositoryen_US
dc.subjectDataverseen_US
dc.subjectResearch data managementen_US
dc.subjectAcademic librariesen_US
dc.subjectTexas Digital Libraryen_US
dc.titleTDR Survey of Institutional Dataverse Liaisonsen_US
txstate.documenttypeReport
txstate.departmentUniversity Libraries


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