Group items tagged

"Long-term preservation and stewardship of scientific data and research-related information are vitally important to future science and scholarship. Scientific data archives can offer capabilities for managing and preserving disciplinary and interdisciplinary data for research, education, and decision-making activities of future communities of users. Meeting the requirements for a trusted digital repository will help to ensure that today's collections of scientific data will be available in the future. A continuing self-assessment of a long-term archive for interdisciplinary scientific data is being conducted to identify the additional steps needed for it to become a trustworthy repository. Recommendations include a strategy for collaborative organizational sustainability, a model for submission and workflow to ingest interdisciplinary scientific data into a repository, and a plan for facilitating intra-organizational transfer between repositories."

Open Science Summit, which took place in July at Berkeley, is a good example of how "digital scholarship", "e-science" and "open science" and "scholarly communications" are terms from the same vocabulary we are creating to talk about the changes in academia, knowledge transfer, innovation, etc.

Data-intensive science and the marriage of science and IT is happening in astronomy, high-energy physics and genomics. The article provides successful examples of eScience and the challenges hindering the spread of eScience (e.g. lack of tools, database a

Downloadable ebook from O'Reilly. "The Big Data Now anthology is relevant to anyone who creates, collects or relies upon data. It's not just a technical book or just a business guide. "

Abstract: The deluge of scientific research data has excited the general public, as well as the scientific community, with the possibilities for better understanding of scientific problems, from climate to culture. For data to be available, researchers must be willing and able to share them. The policies of governments, funding agencies, journals, and university tenure and promotion committees also influence how, when, and whether research data are shared. Data are complex objects. Their purposes and the methods by which they are produced vary widely across scientific fields, as do the criteria for sharing them. To address these challenges, it is necessary to examine the arguments for sharing data and how those arguments match the motivations and interests of the scientific community and the public. Four arguments are examined: to make the results of publicly funded data available to the public, to enable others to ask new questions of extant data, to advance the state of science, and to reproduce research. Libraries need to consider their role in the face of each of these arguments, and what expertise and systems they require for data curation.

In an edited excerpt from his new book, Too Big to Know, David Weinberger explains how the massive amounts of data necessary to deal with complex phenomena exceed any single brain's ability to grasp, yet networked science rolls on.

Intricate maps of science have been created from citation data to visualize the structure of scientific activity. However, most scientific publications are now accessed online. Scholarly web portals record detailed log data at a scale that exceeds the num

Recently announced NSF requirement (that all grant proposal need to include a Data Management Plan (DMP) shows the importance of digital data as a foundation for the progress of science and replicability of research in the digital age. ..

The Growth of 'Citizen Science' "Big data" is changing the sciences as well as the humanities (The Chronicle, June 4). We asked three experts to comment on the phenomenon. Here are their responses:

part of a series

See the discussion that unfolded among the commenters (a panel at a conference cannot be better.)

"A Data Curation Profile is a resource for Library and Information Science professionals, Archivists, IT professionals, Data Managers, and others who want information about the specific data generated and used in research areas and sub-disciplines that may be published, shared, and preserved for re-use."

Abstract: "Traditionally, scholarly impact and visibility have been measured by counting publications and citations in the scholarly literature. However, increasingly scholars are also visible on the Web, establishing presences in a growing variety of social ecosystems. But how wide and established is this presence, and how do measures of social Web impact relate to their more traditional counterparts? To answer this, we sampled 57 presenters from the 2010 Leiden STI Conference, gathering publication and citations counts as well as data from the presenters' Web "footprints." We found Web presence widespread and diverse: 84% of scholars had homepages, 70% were on LinkedIn, 23% had public Google Scholar profiles, and 16% were on Twitter. For sampled scholars' publications, social reference manager bookmarks were compared to Scopus and Web of Science citations; we found that Mendeley covers more than 80% of sampled articles, and that Mendeley bookmarks are significantly correlated (r=.45) to Scopus citation counts. " "Accepted to 17th International Conference on Science and Technology Indicators, Montreal, Canada, 5-8 Sept. 2012."

This Report has attempted to draw together and synthesise evidence and opinion from a wide range of sources. Examples of data intensive science at extremes of scale and complexity which enable forecasting and predictive assertions, have been described tog

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.

Program announcement from the National Science Foundation. "to enhance and expand the national resource of digital data documenting existing vouchered biological and paleontological collections and to advance scientific knowledge by improving access to digitized information (including images) residing in vouchered scientific collections across the United States. " Seeking proposals from academic, governmental and non-profit orgs.

The E-science and Academic Libraries Bibliography includes English-language articles, books, editorials, and technical reports that are useful in understanding the broad role of academic libraries in e-science efforts. The scope of this brief selective bibliography is narrow, and it does not cover data curation and research data management issues in libraries in general (see the Digital Curation and Preservation Bibliography 2010 for coverage of these topics).

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.

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

Project from 2012, collaboration of UKOLN, University of Bath and Microsoft Research "to assist institutions, research funders and researchers in growing the capability of their communities to perform data intensive research "

Survey of science librarians at ARL member institutions