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Streamlining the research data archival process at Johns Hopkins University

Presenter 1
Jonathan Peters
Johns Hopkins University

Among other research data management services, Johns Hopkins University Data Management Services (JHUDMS),  provides its researchers the opportunity to preserve and share their data through the JHU Data Archive. This archive is a research data-specific repository that can host a wide variety of quantitative and qualitative data, and is both format- and discipline-agnostic.

We in JHUDMS have begun archiving research data originating from two NSF-funded engineering research projects. This archiving process has begun with data associated with publications, which may be a typical model for library research data archives. These efforts have been an opportunity to understand the time and effort required for activities that can add value to a research data collection (e.g. discussions with the researcher, development of data flow diagrams, migration of data to non-proprietary formats). We will discuss these collections and the steps taken to create them.

It is of benefit to both the researchers and JHUDMS to scope and streamline the archiving process with research data associated with publications in mind. We will discuss our current understanding of the most effective curation activities we can efficiently accomplish, parameters for those activities, and those elements perceived by the researcher to be most valuable.

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