79 research outputs found

    Librarian Panel Discussion presentation: The Data Working Group at UMass Amherst

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    Rebecca Reznik-Zellen, MA, MLIS, is Digital Strategies Coordinator for the University of Massachusetts Amherst Libraries. In her presentation she discussed the development of the Data Working Group at UMass Amherst

    Building a Central Repository for Nanomanufacturing

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    4th International Conference on Open RepositoriesThis presentation was part of the session : EPrints User Groups PresentationsDate: 2009-05-20 01:30 PM – 03:00 PMThe InterNano Nanomanufacturing Repository (INR) is a central repository of nanomanufacturing research and trade information for the nanomanufacturing community. It is administered by the National Nanomanufacturing Network (NNN) and funded by the National Science Foundation through the Center for Hierarchical Manufacturing at the University of Massachusetts Amherst. The INR is unique even as a central repository because it crosses not only institutional boundaries but also sector boundaries by including reports, research, teaching aids, and grey literature relevant to nanomanufacturing from academic, government, and industrial entities. In addition, because nanomanufacturing is itself inherently interdisciplinary, the repository crosses domain boundaries by including work that ranges from chemistry and physics to sociology and ethics. The INR is still early in development. Reflecting the two essential approaches for nanomanufacturing itself, the NNN is employing both top-down and bottom-up activities to build this national repository. Now in the "bottom-up" stage, the INR uses EPrints as its most fundamental building block and has incorporated a novel taxonomy and collections structure to support nanomanufacturing information. The NNN has customized the EPrints interface to reflect the InterNano Nanomanufacturing Clearinghouse, which the INR is designed to support. In addition, the NNN is manually migrating and soliciting content from its affiliates to build collections. Looking ahead to the "top down" activities, the NNN will be implementing an OAI harvester and initiating a SWORD pilot project to facilitate the deposition of relevant content from the vast body of nanotechnology literature. This presentation will describe the INR project with attention to its unique content, taxonomy, and customizations to the EPrints standard interface

    Challenges of Data Management Training for Graduate Students at a Large Research University

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    Objective: To describe the challenges and outcomes of the University of Massachusetts Amherst Libraries\u27 Data Working Group\u27s series of training workshops for graduate students on the subject of data management and preservation, with specific regard to the data management requirements of the National Science Foundation and National Institutes of Health. Participants: The Libraries\u27 Data Working Group is composed of six members with expertise in project management, systems and web development, scholarly communication, digital archives and metadata, and science and social science librarianship. The Data Working Group is one of three subgroups of the Digital Strategies Group at the University Libraries. Description: The University of Massachusetts Amherst Libraries provides a number of services to faculty and graduate students in support of research at an institution classified as a Research University with Very High research activity (RU/VH) by the Carnegie Foundation[1]. Recognizing a high demand for greater data education, the Libraries\u27 Data Working Group has conducted workshops for graduate students in specific disciplines -- humanities, social sciences, and sciences -- designed to address their data needs and highlight smart data management practices. Graduate students were also guided through the data management requirements of national funding agencies and potential solutions. Results: In its current capacity the Data Working Group provides educational workshops and individual consulting sessions for faculty and graduate students. The Data Working Group observed a significant portion of graduate students who had no prior experience with smart data practices or useful data management resources. This process has identified a clear need for wider, more intensive education for graduate students on data practices and the data management requirements of national funding agencies. [1] http://www.umass.edu/umhome/research.ph
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