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      The value of data

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          Abstract

          Data citation and the derivation of semantic constructs directly from datasets have now both found their place in scientific communication. The social challenge facing us is to maintain the value of traditional narrative publications and their relationship to the datasets they report upon while at the same time developing appropriate metrics for citation of data and data constructs.

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          Mutation nomenclature extensions and suggestions to describe complex mutations: a discussion.

          J. den Dunnen, S. Antonarakis (2000)
          Consistent gene mutation nomenclature is essential for efficient and accurate reporting, testing, and curation of the growing number of disease mutations and useful polymorphisms being discovered in the human genome. While a codified mutation nomenclature system for simple DNA lesions has now been adopted broadly by the medical genetics community, it is inherently difficult to represent complex mutations in a unified manner. In this article, suggestions are presented for reporting just such complex mutations. Copyright 2000 Wiley-Liss, Inc.
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            The anatomy of a nanopublication

            Paul Groth, Jan Velterop, Andrew Gibson … (2010)
            As the amount of scholarly communication increases, it is increasingly difficult for specific core scientific statements to be found, connected and curated. Additionally, the redundancy of these statements in multiple fora makes it difficult to determine attribution, quality and provenance. To tackle these challenges, the Concept Web Alliance has promoted the notion of nanopublications (core scientific statements with associated context). In this document, we present a model of nanopublications along with a Named Graph/RDF serialization of the model. Importantly, the serialization is defined completely using already existing community-developed technologies. Finally, we discuss the importance of aggregating nanopublications and the role that the Concept Wiki plays in facilitating it.
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              Calling on a million minds for community annotation in WikiProteins

              Barend Mons, Michael Ashburner, Christine Chichester … (2008)
              WikiProteins enables community annotation in a Wiki-based system. Extracts of major data sources have been fused into an editable environment that links out to the original sources. Data from community edits create automatic copies of the original data. Semantic technology captures concepts co-occurring in one sentence and thus potential factual statements. In addition, indirect associations between concepts have been calculated. We call on a 'million minds' to annotate a 'million concepts' and to collect facts from the literature with the reward of collaborative knowledge discovery. The system is available for beta testing at .
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                Author and article information

                Journal
                Title: Nature Genetics
                Abbreviated Title: Nat Genet
                Publisher: Springer Science and Business Media LLC
                ISSN (Print): 1061-4036
                ISSN (Electronic): 1546-1718
                Publication date Created: April 2011
                Publication date (Electronic): March 29 2011
                Publication date (Print): April 2011
                Volume: 43
                Issue: 4
                Pages: 281-283
                Article
                DOI: 10.1038/ng0411-281
                PubMed ID: 21445068
                SO-VID: 19d4e164-4083-45ff-8bff-709341da64ac
                Copyright © © 2011
                License:

                http://www.springer.com/tdm

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