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Author: Parham, Susan Wells × End date: 2010 × Start date: 2010 ×

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    Testing the DAF for Implementation at Georgia Tech
    (Georgia Institute of Technology, 2010-12) Parham, Susan Wells
    Formal data management has become an increasingly pressing need for researchers in every discipline, and the Georgia Tech Library is investigating ways in which we can support campus researchers in this area. Vast quantities of research data are generated each year – the creation of which is dependent upon a great investment of both intellectual effort and financial backing by individuals and groups affiliated with Georgia Tech, from departments and research centers to federal funding agencies and private donors. The curation of these assets is of strategic importance to the university and all those involved in their creation. As part of our investigation into providing data management services to GT faculty and researchers, the library is conducting an assessment of campus research data outputs based upon the Data Asset Framework (DAF), an assessment tool developed by HATII at the University of Glasgow in conjunction with the Digital Curation Centre. In preparation for implementing the DAF, the Research Data Project Team first determined the goals and scope of our assessment, and identified available resources, such as funding, technical support, discipline expertise, and institutional partners. Based on these criteria, we modified the tool to match our local requirements. Rather than focusing on a comprehensive audit of a single school or research group, we developed a plan to canvas the entire campus; we require a broad understanding of the research data environment across a university known for its de-centralized nature. While much attention in the professional literature is focused on the data-intensive disciplines within science and engineering, we also wanted to include other technology-rich disciplines that have a strong presence at Georgia Tech –including computing, architecture, music technology, and humanities-based digital media. We conducted a pilot study across all seven university colleges, along with a number of major research centers and affiliated campus units. Because we plan to survey research projects with a wide spectrum of methodologies, practices, budgets, and data management requirements, we needed to insure that the assessment questions were not biased toward any one discipline or research scenario. This poster will outline the findings from the assessment pilot study. I will report on our initial tool design, researcher feedback, survey results, a comparison of expected and actual study outcomes, and modifications made to the assessment tool. By working with this cross-section of the Georgia Tech research community, we were able to refine and improve our original version of the assessment tool for a full, campus-wide implementation in late 2010.
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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.