Group items tagged

"The data underlying scientific papers should be accessible to researchers both now and in the future, but how best can we ensure that these data are available? Here we examine the effectiveness of four approaches to data archiving: no stated archiving policy, recommending (but not requiring) archiving, and two versions of mandating data deposition at acceptance. We control for differences between data types by trying to obtain data from papers that use a single, widespread population genetic analysis, STRUCTURE. At one extreme, we found that mandated data archiving policies that require the inclusion of a data availability statement in the manuscript improve the odds of finding the data online almost a thousand-fold compared to having no policy. However, archiving rates at journals with less stringent policies were only very slightly higher than those with no policy at all. At one extreme, we found that mandated data archiving policies that require the inclusion of a data availability statement in the manuscript improve the odds of finding the data online almost a thousand fold compared to having no policy. However, archiving rates at journals with less stringent policies were only very slightly higher than those with no policy at all. We also assessed the effectiveness of asking for data directly from authors and obtained over half of the requested datasets, albeit with about 8 days delay and some disagreement with authors. Given the long term benefits of data accessibility to the academic community, we believe that journal based mandatory data archiving policies and mandatory data availability statements should be more widely adopted."

"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."

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. "

"this report: 1) describes data-centric architectures; 2) gives some examples of how organisations are already sharing data and discusses this from a data-centric perspective; 3) introduces some tools and technologies that can support data-centric architectures as well as some new models of data management; 4) concludes with a look at the direction of travel. This report also provides a glossary to help clarify key terms and a 'References' section listing works cited."

Elsevier Enriches Articles With Research Data Sets Elsevier and PANGAEA (Publishing Network for Geoscientific & Environmental Data) announced their next step in interconnecting the diverse elements of scientific research. Elsevier articles at ScienceDirect are now enriched with graphical information linking to associated research data sets that are deposited at PANGAEA.

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.

Abstract "Research libraries have sought to apply their information management expertise to the management of digital research data. This focus has been spurred in part by the policies of two major funding agencies in the United States, which require grant recipients make research outputs, including publications and research data, openly available. As many academic libraries are beginning to offer or are already offering assistance in writing and implementing data management plans, it is important to consider how best to support researchers. Our research examined the current data management requirements of major US funding agencies to better understand data management requirements facing researchers and the implications for libraries offering data management services for researchers."

Harvard researchers have developed a tool for analyzing large data sets that detects important relationships in data without prior knowledge of their type. The development comes at a time when researchers are being overwhelmed by the vast amounts of data emerging from their labs, and struggling to make sense of them.

VOSON System - web-based software for the collection and analysis of online network data; incorporates web mining, data visualisation, and social network analysis (SNA). VOSON Data Provider for NodeXL - a plugin for NodeXL (Network Overview, Discovery and Exploration for Excel), which is a template for Excel 2007. VOSON+NodeXL allows VOSON account holders users to access VOSON System functionality (data collection and processing) from within NodeXL. Alpha version released February 2010. VOSON SNSLab - a

authors were most likely to share data if they had prior experience sharing or reusing data, if their study was published in an open access journal or a journal with a relatively strong data sharing policy, or if the study was funded by a large number of NIH grants. Authors of studies on cancer and human subjects were least likely to make their datasets available.

Showing that articles with links to data get higher citation rates might increase the willingness of scientists to take the extra steps of linking data sources to their publications. In this presentation we will show this is indeed the case: articles with links to data result in higher citation rates than articles without such links.

"Conclusion. After accounting for other factors affecting citation rate, we find a robust citation benefit from open data, although a smaller one than previously reported. We conclude there is a direct effect of third-party data reuse that persists for years beyond the time when researchers have published most of the papers reusing their own data. Other factors that may also contribute to the citation benefit are considered. We further conclude that, at least for gene expression microarray data, a substantial fraction of archived datasets are reused, and that the intensity of dataset reuse has been steadily increasing since 2003."

"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."

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. ..

In this paper we make the case for a scientific data publication model on top of linked data and introduce the notion of Research Objects as first class citizens for sharing and publishing.

Aspen Institute report asks, "Does Big Data represent an evolution of knowledge, or is more actually less when it comes to information on such scales?"" Big Data and Health Care", "How Should Big Data Abuses Be Addressed?" and "Business and Social Implications of Big Data". (via the Scout Report)

Proposes a new way of looking at library organization and services, with three specific areas, reduce redundant collection and storage with a "national network of "last copy" print repositories," throw efforts toward National Digital Library such as proposed by Darnton, coordinate depository and data sharing initiatives, consolidate technical services operations regionally, and establish an LIS R&D for data collection, data sharing, decision making and development of useful information applications.

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 "

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