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Digital technologies raise all kinds of issues regarding the validity of research data, standards, restrictions, and preservation. This book seeks to be an essential guide to the principles affecting research data in th
University of Washington Provost Ana Mari Cauce has allocated permanent funding to the eScience Institute to stimulate the hiring of faculty members who conduct cutting-edge research on methodologies for data-driven discovery, and whose teaching and outreach will put advanced tools and techniques into the hands of UW's broad base of outstanding researchers.
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."
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."
"Objective: This paper describes three different institutional experiences in developing research data management programs and services, challenges/opportunities and lessons learned. Overview: This paper is based on the Librarian Panel Discussion during the 4th Annual University of Massachusetts and New England Region e-Science Symposium."
Towards "a curated directory of valuable organized references that are considered a must know for any Open Data stakeholder, including public administration, academia, civil society, private sector, non-governmental institutions, professional consultants, media and publishing industries or topic specialists among others." Use Cases and Requirements draft also available for viewing
The University of North Carolina at Chapel Hill School of Information and Library Science has released Research Data Stewardship at UNC: Recommendations for Scholarly Practice and Leadership.
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
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
article by Mercè Crosas, Institute for Quantitative Social Science, Harvard University, Harvard. Demonstrates application's utility for data sharing, preservation, permanence, interoperability, ease of use and maintenance, among other considerations
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. .