(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.
(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.