Journal of eScience Librarianship · 2017 · 29 citations · 0 references
ManagementInformation SystemsData ManagementInstitutional ResearchKnowledge StorageData CurationData SharingData Sharing PoliciesKnowledge RepositoriesRepository ManagementResearch Data ManagementData RepositoriesData Repository CurationData Repository ManagementResearch Data CurationResearch Data InfrastructureResearch Data Repositories
<strong>Objective</strong>: Many academic and research institutions are exploring opportunities to better support researchers in sharing their data. As partners in the Data Curation Network project, our six institutions developed a comparison of the current levels of support provided for researchers to meet their data sharing goals through library-based data repository and curation services. <strong>Methods</strong>: Each institutional lead provided a written summary of their services based on a previously developed structure, followed by group discussion and refinement of descriptions. Service areas assessed include the repository services for data, technologies used, policies, and staffing in place. <strong>Conclusions</strong>: Through this process we aim to better define the current levels of support offered by our institutions as a first step toward meeting our project's overarching goal to develop a shared staffing model for data curation across multiple institutions.