Group items tagged

From a survey of ACRL member libraries, this report examines the scope of library participation in data research services while identifying future opportunities for collaboration, especially in research intensive institutions.

An evaluation of research support services in four UK institutions discusses support for research dissemination, data curation and intellectual property concerns.

Description: "The focus of this project was on computer-mediated or computational scientific knowledge discovery, taken broadly as any research processes enabled by digital computing technologies. Such technologies may include data mining, information retrieval and extraction, artificial intelligence, distributed grid computing, and others. These technological capabilities support computer-mediated knowledge discovery, which some believe is a new paradigm in the conduct of research. The emphasis was primarily on digitally networked data, rather than on the scientific, technical, and medical literature. The meeting also focused mostly on the advantages of knowledge discovery in open networked environments, although some of the disadvantages were raised as well."

provides access to a comprehehsive set of software packages easing the exploration, modification, comparison, and extension of data mining and information visualization algorithms. Diverse software packages were bundled into learning modules. Access to a large-scale data repository, extensive compute resources, and a growing set of references are provided as well. It is our hope that the community will adopt this resource to foster Information Visualization education and research.

The DataCite Metadata Scheme is a list of core metadata properties chosen for the accurate and consistent identification of data for citation and retrieval purposes, along with recommended use instructions. At a minimum, the mandatory metadata scheme properties must be provided at the time of identifier registration

How should the university campus interface with national cyberinfrastructure (CI)? What role do networks play in today's data-intensive environment?

Usage data, still an active research area, can address many shortcomings of citation analysis. A state-of-the-art in usage-based informetrics, the article can inspire the development of usage metadata for DPLA system. .

Microsoft Research Connections and UKOLN, University of Bath, are working in partnership on an exciting and challenging new project to develop a Community Model for Data-Intensive Science.

The key to the Alzheimer's project was an agreement as ambitious as its goal: not just to raise money, not just to do research on a vast scale, but also to share all the data, making every single finding public immediately, available to anyone with a computer anywhere in the world.

Research Data Access and Preservation Summit Program Friday, April 9, 2010

Report on a survey of "38 individuals at four prominent U.S. research universities," reflecting how researchers choose "adequate" rather than "optimal" information solutions and "use online tools and commercial services related to their discipline rather than tools provided by their university." Concerns about long term data durability abound.

from the description; "he theme of this international symposium is the promotion of greater sharing of scientific data for the benefit of research and broader development, particularly in the developing world."

Scientific Data Sharing and Archiving at UC3/CDL: the Excel Add-in Project and More John Kunze, California Digital Library/California Curation Center and Tricia Cruse, California Digital Library/California Curation Center

Ball, A.., 2012. Review of Data Management Lifecycle Models. Research Report. Bath, UK: University of Bath

Implications of new federal directives for data sharing, privacy, compliance, access and good practices for libraries collaborating with researchers

Written by Joanna Ball, academic Services Manager, University of Sussex Library

Dorothea Salo outlines a framework for understanding the complexities of research data and researchers' needs, with emphasis on digital libraries and institutional repositories and data standards and management characteristics and requirements.

highlights a number of initiatives in the Universities of Edinburgh and Oxford, showing how research data repository infrastructures can be effectively realized through collaboration and sharing of expertise.

Compilation of (some excellent essays/articles) on the data-intensive eResearch.

Investigates data from two multi-user studies funded by IMLS, finding convenience is a determinative of infomation seeking regardless of "age, gender, academic role," virtual or non-virtual use.