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      Towards a data publishing framework for primary biodiversity data: challenges and potentials for the biodiversity informatics community

      research-article
      1 , , 2
      BMC Bioinformatics
      BioMed Central

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          Abstract

          Background

          Currently primary scientific data, especially that dealing with biodiversity, is neither easily discoverable nor accessible. Amongst several impediments, one is a lack of professional recognition of scientific data publishing efforts. A possible solution is establishment of a ' Data Publishing Framework' which would encourage and recognise investments and efforts by institutions and individuals towards management, and publishing of primary scientific data potentially on a par with recognitions received for scholarly publications.

          Discussion

          This paper reviews the state-of-the-art of primary biodiversity data publishing, and conceptualises a ' Data Publishing Framework' that would help incentivise efforts and investments by institutions and individuals in facilitating free and open access to biodiversity data. It further postulates the institutionalisation of a ' Data Usage Index (DUI)', that would attribute due recognition to multiple players in the data collection/creation, management and publishing cycle.

          Conclusion

          We believe that institutionalisation of such a 'Data Publishing Framework' that offers socio-cultural, legal, technical, economic and policy environment conducive for data publishing will facilitate expedited discovery and mobilisation of an exponential increase in quantity of 'fit-for-use' primary biodiversity data, much of which is currently invisible.

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          Most cited references24

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            Fish oil, Raynaud's syndrome, and undiscovered public knowledge.

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                Author and article information

                Journal
                BMC Bioinformatics
                BMC Bioinformatics
                BioMed Central
                1471-2105
                2009
                10 November 2009
                : 10
                : Suppl 14
                : S2
                Affiliations
                [1 ]Global Biodiversity Information Facility Secretariat, Universitetsparken 15, DK 2100, Copenhagen, Denmark
                [2 ]Department of Information Studies, Royal School of Library and Information Sciences, Birketinget 6, DK 2300, Copenhagen, Denmark
                Article
                1471-2105-10-S14-S2
                10.1186/1471-2105-10-S14-S2
                2775148
                19900298
                5f11f738-bc67-4eab-ae25-82a657d49706
                Copyright © 2009 Chavan and Ingwersen; licensee BioMed Central Ltd.

                This is an open access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided th original work is properly cited.

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                Categories
                Research

                Bioinformatics & Computational biology
                Bioinformatics & Computational biology

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