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dc.creatorLee, Dong Joon
dc.creatorStvilia, Besiki
dc.creatorWu, Shuheng
dc.date.accessioned2017-07-13T18:21:30Z
dc.date.available2017-07-13T18:21:30Z
dc.date.issued2017-07-13
dc.identifier.urihttp://hdl.handle.net/1969.1/160531
dc.description.abstractAs the uses for research information management (RIM) systems grow, digital curation communities are increasingly interested in building shared, sustainable, community-based models for RIM services and metadata, and connecting those models to researchers’ activities and needs. This paper presents RIM service and metadata models and compares the models to researchers’ activities and engagement levels in RIM systems. The findings of this study can inform the design of RIM service templates or repertoires for different levels of researcher participation in RIM systems. Future related work will include the collection and analysis of empirical data of the actual uses of RIM services and metadata by researchers.en_US
dc.description.sponsorshipThe authors would like to express their appreciation to the researchers who participated in the study. This research is supported by an OCLC/ALISE Library and Information Research Grant for 2016 and a National Leadership Grant from the Institute of Museum and Library Services (IMLS) of the U.S. Government (grant # LG-73-16-0006-16). The article reflects the findings and conclusions of the authors, and do not necessarily reflect the views of OCLC, ALISE, and IMLS.en_US
dc.language.isoen_USen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectResearcher identity informationen_US
dc.subjectResearch information management systemsen_US
dc.subjectMetadata modelsen_US
dc.subjectActivity theoryen_US
dc.titleStudying service and metadata models of research information management systemsen_US
dc.typeArticleen_US
local.departmentUniversity Librariesen_US


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Attribution-NonCommercial-NoDerivs 3.0 United States
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States