Normalizing Novelty: Regulating Biotechnological Risk at the U.S. EPA

Drs. Levidow and Carr examine EPA\u27s regulation of biotechnology in the field of genetically modified organisms

Understanding social machines

The framework introduced in this paper aims to reflect the characteristics that social machines have been described to have. The framework uses a mixed methods approach underpinned by social theory to provide a detailed and rich understanding of the socio-technical nature of a social machine. The strength of this lies in the diversity of the data being used; whilst the quantitative approach can provide mathematical rigor to the structure and properties of the networks and appreciate its scale, the qualitative approach seeks to examine the 'social relations', and the context to how the social machine is enabling humans and technologies to interact and shape each other. Like many studies using empirical-based research, this framework takes advantage of the complementary nature that mixed methods offers, and pushes it further by using an analytical socio-technical lens.<br/

Building Social Networks from Institutional Repositories

An Institutional Repository may offer .a set of services. to its local users, supporting the publication of research. More importantly, the repository also forms a key component in the global scholarly communications environment. In this presentation we investigate the role of the repository on a global scale by witnessing the effects on a changing economy and also show how worldwide collaboration networks can be predicted using the strong social links found in repository metadata

Using the Co-Citation Network to Indicate Article Impact

Scholarly outputs are growing in number and frequency, driving the requirement to research new early indication metrics. Historically, citations have been used as an independent indication of the significance of scholarly material. However, citations are very slow to accrue since they can only be made by subsequently published material. This enforces a delay of a number of years before the citation impact of a publication can be accurately judged. Existing early indication metrics, such as download metrics and web based link analysis, have obtained correlation results. Brody finds a good correlation between download metrics and subsequent impact by citation, while Thelwall finds very little correlation between Google's PageRank and the number of links (or citations) to a web site, suggesting neither is a good surrogate indicator for the other. While valid studies, neither take account of the quality assessment factor of peer-review citation. This work presents an investigation into new metrics which utilize the co-citation network in order to rate a publications impact

Releasing the Power of Digital Metadata: Examining Large Networks of Co-Related Publications

Bibliographic metadata plays a key role in scientific literature, not only to summarise and establish the facts of the publication record, but also to track citations between publications and hence to establish the impact of individual articles within the literature. Commercial secondary publishers have typically taken on the role of rekeying, mining and analysing this huge corpus of linked data, but as the primary literature has moved to the world of the digital repository, this task is now undertaken by new services such as Citeseer, Citebase or Google Scholar. As institutional and subject-based repositories proliferate and Open Access mandates increase, more of the literature will become openly available in well managed data islands containing a much greater amount of detailed bibliometric metadata in formats such as RDF. Through the use of efficient extraction and inference techniques, complex relations between data items can be established. In this paper we explain the importance of the co-relation in enabling new techniques to rate the impact of a paper or author within a large corpus of publications

All about that - a URI profiling tool for monitoring and preserving linked data

All About That (AAT) is a URI Profiling tool which allows users to monitor and preserve Linked Data in which they are interested. Its design is based upon the principle of adapting ideas from hypermedia link integrity in order to apply them to the Semantic Web. As the Linked Data Web expands it will become increasingly important to maintain links such that the data remains useful and therefore this tool is presented as a step towards providing this maintenance capability

Releasing the Power of Digital Metadata: Examining Large Networks of Co-Related Publications

Bibliographic metadata plays a key role in scientific literature, not only to summarise and establish the facts of the publication record, but also to track citations between publications and hence to establish the impact of individual articles within the literature. Commercial secondary publishers have typically taken on the role of rekeying, mining and analysing this huge corpus of linked data, but as the primary literature has moved to the world of the digital repository, this task is now undertaken by new services such as Citeseer, Citebase or Google Scholar. As institutional and subject-based repositories proliferate and Open Access mandates increase, more of the literature will become openly available in well managed data islands containing a much greater amount of detailed bibliometric metadata in formats such as RDF. Through the use of efficient extraction and inference techniques, complex relations between data items can be established. In this paper we explain the importance of the co-relation in enabling new techniques to rate the impact of a paper or author within a large corpus of publications

Prof Les Carr interviews Bebo White

Prof Les Carr interviews Bebo White about the Early Web and the Future Web – the Internet of Thing

Repositories, Plugins &amp; the REF

A CRIS (Current Research Information System) pulls together information from all the research-relevant databases. Repositories should support the CERIF standard to co-operate as components of a CRIS environme

The Open Research Web: A Preview of the Optimal and the Inevitable

The multiple online research impact metrics we are developing will allow the rich new database , the Research Web, to be navigated, analyzed, mined and evaluated in powerful new ways that were not even conceivable in the paper era – nor even in the online era, until the database and the tools became openly accessible for online use by all: by researchers, research institutions, research funders, teachers, students, and even by the general public that funds the research and for whose benefit it is being conducted: Which research is being used most? By whom? Which research is growing most quickly? In what direction? under whose influence? Which research is showing immediate short-term usefulness, which shows delayed, longer term usefulness, and which has sustained long-lasting impact? Which research and researchers are the most authoritative? Whose research is most using this authoritative research, and whose research is the authoritative research using? Which are the best pointers (“hubs”) to the authoritative research? Is there any way to predict what research will have later citation impact (based on its earlier download impact), so junior researchers can be given resources before their work has had a chance to make itself felt through citations? Can research trends and directions be predicted from the online database? Can text content be used to find and compare related research, for influence, overlap, direction? Can a layman, unfamiliar with the specialized content of a field, be guided to the most relevant and important work? These are just a sample of the new online-age questions that the Open Research Web will begin to answer