Data Working Group

Science depends on good data. Data are central to our understanding of the natural world, yet most data in ecology and evolution are lost to science-except perhaps in summary form-very quickly after they are collected. ... Yet these data, even after the main results for which they were collected are published, are invaluable to science, for meta‐analysis, new uses, and quality control.

AGU=American Geophysical Union meeting report on data citation

This report has attempted to draw together and synthesise evidence and opinion associated with data-intensive open science from a wide range of sources. The potential impact of data-intensive open science on research practice and research outcomes, is both substantive and far-reaching. There are implications for funding organisations, for research and information communities and for higher education institutions.

The Chronopolis Digital Preservation Demonstration Project, one of the Library of Congress' latest efforts to collect and preserve at-risk digital information, has been officially launched as a multi-member partnership to meet the archival needs of a wide range of cultural and social domains. Chronopolis is a digital preservation data grid framework being developed by the San Diego Supercomputer Center (SDSC) at UC San Diego , the UC San Diego Libraries (UCSDL) , and their partners at the National Center for Atmospheric Research (NCAR) in Colorado and the University of Maryland's Institute for Advanced Computer Studies (UMIACS) . A key goal of the Chronopolis project is to provide cross-domain collection sharing for long-term preservation. Using existing high-speed educational and research networks and mass-scale storage infrastructure investments, the partnership is designed to leverage the data storage capabilities at SDSC, NCAR, and UMIACS to provide a preservation data grid that emphasizes heterogeneous and highly redundant data storage systems.

Includes a list of open source visualization toolkits

data management issues

new feature on open access to data and difficulties with sharing

Univ New Mexico press release on their NSF funded DataNet project

Cloud computing - the creation of large data centers that can be dynamically provisioned, configured, and reconfigured to deliver services in a scalable manner - places enormous capacity and power in the hands of users. As an emerging new technology, however, cloud computing also raises significant questions about resources, economics, the environment, and the law. Many of these questions relate to geographical considerations related to the data centers that underlie the clouds: physical location, available resources, and jurisdiction. While the metaphor of the cloud evokes images of dispersion, cloud computing actually represents centralization of information and computing resources in data centers, raising the specter of the potential for corporate or government control over information if there is insufficient consideration of these geographical issues, especially jurisdiction. This paper explores the interrelationships between the geography of cloud computing, its users, its providers, and governments.