Selected Internet Resources on Digital Reserch Data Curation

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Title: Selected Internet Resources on Digital Reserch Data Curation
Author: Westra, Brian ; Ramirez, Marisa ; Parham, Susan Wells ; Scaramozzino, Jeanine Marie
Abstract: 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.
Type: Article
ISSN: 1092-1206
Citation: Brian Westra, Marisa Ramirez, Susan Wells Parham, and Jeanine Marie Scaramozzino, “Selected Internet Resources on Digital Research Data Curation,” Issues in Science and Technology Librarianship, No. 63 (Fall 2010)
Date: 2010
Contributor: University of Oregon
California Polytechnic State University, San Luis Obispo
Georgia Institute of Technology
Publisher: Georgia Institute of Technology
Association of College and Research Libraries
Subject: Data curation
Digital research data
Data centers
Research data management

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