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.
"The combination of Elsevier's and Collexis' knowledge discovery technologies will create a powerful set of applications designed to support scientific management and assessment." Publishers are offering more and more tools, e.g. Thomson Reuter's InCites and SciVal.
MIT librarians report results of a survey of NIH-funded faculty members and researchers on their experiences with the publishing process. Possible areas of library support and partnership are considered.
STAR METRICS programme - "The first aim of the programme is to build a 'clean' database of all federally funded researchers in the United States ... Later on, the plan is to track patents, citations and other metrics of the research's impact. ... researchers' use of the Internet to communicate and publish will enable STAR METRICS to track the creation and transfer of knowledge properly for the first time"
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.
Launched by NCBI, Rapid Research Notes (RRN) "allows users to access and cite research that is provided through participating publisher programs designed for immediate communication."
This article describes a study, involving a set of articles published in scholarly journals by faculty members of the Hong Kong University of Science and Technology (HKUST) that have also been deposited in the HKUST Institutional Repository. The study was
WorldWideScience.org, a federated full-text database of scientific and technical research information published at least 70 cooperative countries, providing access to millions of deep web documents with only about a 4% overlap with general public search engines.