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Publication Search Results

Now showing 1 - 7 of 7
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    NSF DMP Content Analysis: What Are Researchers Saying?
    (Georgia Institute of Technology, 2012-10) Parham, Susan Wells ; Doty, Chris
    As of January 2011,the National Science Foundation (NSF) has required a data management plan (DMP) as part of all grant proposals.Georgia Tech’s librarians and information technologists presented DMP development guidelines to support the requirement and later examined 181 plans submitted in the first eight months of 2011.
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    Note-Worthy Productivity Tools for Personal Knowledge Management
    (Georgia Institute of Technology, 2012) Axford, Mary ; Renfro, Crystal
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    Ideas, Hints, & Tips
    (Georgia Institute of Technology, 2012) Kenly, Patricia E. ; Finn, Bette
    Librarians can use outreach as a great way to enhance their reference and interpersonal skills. Our experience has shown that engaging in campus/community events such as "Earth Day" has indeed sharpened our reference skills. Further, these events showcased the Georgia Tech Library’s reference services and resources.
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    Clarify Life and Work with Mind Maps
    (Georgia Institute of Technology, 2012) Axford, Mary ; Renfro, Crystal
    The authors discuss the powerful tool of mind mapping and its far reaching applications for the library from strategic planning and workflow optimization to daily problem solving and syllabus development. Key features of mind mapping tools will be presented to help readers determine the best product for their individual needs.
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    Supporting tomorrow's research: assessing faculty data curation needs at Georgia Tech
    (Georgia Institute of Technology, 2012-01) Parham, Susan Wells ; Bodnar, Jon ; Fuchs, Sara
    The management and preservation of research data is of growing importance to institutions, and provides a juncture where librarians can work with researchers and other campus professionals to develop research data curation services.
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    Restoring Trust Relationships within the Framework of Collaborative Digital Preservation Federations
    (Georgia Institute of Technology, 2010-03-11) McDonald, Robert H. ; Walters, Tyler O.
    The authors extend their process for creating and establishing trust relationships to include steps for restoring trust relationships after catastrophic events. Part of this model will include best practices for business continuity relationships and will integrate trust models from Holland and Lockett (1998) and Ring and Van de Ven (1994) and how they can be applied to a process for trust restoration after periods of disaster or critical data loss. These models provide key frameworks for understanding how trust can be utilized for collaborative start points as well as for collaborative recovery points from physical natural disaster or critical data loss. Additionally, the authors will present findings from an audience poll conducted on May 15, 2009 during the presentation of this topic at the 4th International Conference on Open Repositories with additional conclusions and commentary.
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    Selected Internet Resources on Digital Reserch Data Curation
    (Georgia Institute of Technology, 2010) Westra, Brian ; Ramirez, Marisa ; Parham, Susan Wells ; Scaramozzino, Jeanine Marie
    Networked, data-intensive computational approaches to science play an increasingly important role across research disciplines, and this technology-rich environment alters both the content and modes of scholarly communication (Wright et al. 2007). The sheer volume of digital data produced in the sciences is staggering, presenting challenges to researchers and to publishers, funding agencies, and others both within and external to the academic community (Borgman, Wallis, and Enyedy 2007). The curation of digital research data and the development of related infrastructure are of great significance to the research community, as evinced by the National Science Foundation's DataNet Program. The program will ultimately fund five large-scale projects which will include new types of research organizations (DataNet Partners) to focus their research efforts in these areas. The curation of research data is defined as "stewardship that adds value through the provision of context and linkage: placing emphasis on publishing data in ways that ease re-use and promoting accountability and integration" (Rusbridge et al. 2005). According to Sayeed Choudhury, the implications of research data curation for libraries include: "Data as collections; data as services; librarians as data scientists; data centers as the new library stacks" (Choudhury 2009). As such, research libraries are developing services to support the intake, preservation and reuse of this digital content, and exploring new roles for libraries and librarians. A growing number of institutions have undertaken "collaborative action by cross-section partnerships of academe, government, industry and others" to develop new data curation resources, including case studies, standards and tools, policies, and training (Gold 2010). The resources listed below are reflective of the current state of knowledge, which will likely undergo significant changes as curation services and technology continue to evolve.