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Tuesday, May 04, 2004 |
April issue of Ariadne. The April issue of Ariadne is now online. Here are the OA-related articles.
- Jeffrey Darlington, A National Archive of Datasets
- Chris Awre, Seeing is Believing: The JISC Information Environment Presentation Programme
- Andy Powell and Phil Barker, RDN/LTSN Partnerships: Learning resource discovery based on the LOM and the OAI-PMH
- Paul Miller, Towards the Digital Aquifer: Introducing the Common Information Environment
- Morag Mackie, Filling Institutional Repositories: Practical strategies from the DAEDALUS Project
- Malcolm Moffat, EEVL News: EEVL, VLEs, Institutional and Library Portals
- Phil Cross, Debra Hiom and Emma Place, The ePrints UK Workshop
[Open Access News]
12:39:01 PM Google It!.
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New genetic database. Kevin G Becker et al, The Genetic Association Database, Nature Genetics 36, 431-432 (2004). (Access restricted to subscribers) Excerpt:The
increasing availability of polymorphism data has allowed more gene
association studies to be carried out and the number of published
genetic association studies is growing rapidly. Studies done
secondarily to successful linkage studies over the last decade have
also fueled the increase in published association studies. Although
there are single-nucleotide polymorphism and human variation databases
there is currently no public repository for genetic association data.
It is difficult to query association data in a systematic manner or to
integrate association data with other molecular databases. OMIM, the
main repository of genetic information for mendelian disorders, is
largely text based and is of a historical narrative design, making it
difficult to compare large sets of molecular data. Moreover, OMIM
archives mature, high-quality data of high significance, the standard
in rare mendelian disorders. Although this data is useful, OMIM does
not routinely collect findings of lower significance or negative
findings. The study of nonmendelian, common complex disorders is often
a struggle to find disease relevance with lower significance values,
and often conflicting evidence. Negative data are often not reported or
are marginalized into obscure and less accessible scientific journals,
resulting in a publication bias favoring positive genetic associations.
Here, we describe the development of a genetic association database
(GAD; http://geneticassociationdb.nih.gov) that aims to collect,
standardize and archive genetic association study data and to make it
easily accessible to the scientific community. [Open Access News]
10:49:02 AM Google It!.
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Assessing PubMed Central. J. Michael Homan and Linda A. Watson, STM publishing meets NIH digital archive: librarian service on the PubMed Central National Advisory Committee, Reference Services Review, 32, 1 (2004) pp. 83-88. Only this abstract is free online, at least so far: "The PubMed Central (PMC) National Advisory Committee was established by the National Institutes of Health in 1999 to guide the development of a new, open-access digital repository of biomedical research reports. Headquartered at the National Library of Medicine's National Center for Biotechnology Information, PMC has achieved significant technical accomplishments, including a recommended publisher document type definition for digital archiving, but little interest in the use of the new digital archive has been shown by the medical publishing community. This article chronicles the evolution of the initial concept from digital publisher to digital archive and includes issues related to technology and the culture of scientific communication." (Thanks to Erik Arfeuille.) [Open Access News]
7:28:18 AM Google It!.
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© Copyright 2004 Bruce Landon.
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