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      Reptile occurrences data in the Volga River basin (Russia)

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          Abstract

          Background

          The Volga basin is one of the most industrially-developed regions of Russia with a high degree of anthropogenic impact on natural ecosystems. Human influence negatively affects the species diversity and number of animals, including reptiles. There are no endemic species in the reptile fauna of the Volga basin. The herpetofauna of the region makes up 25% of the reptile fauna of Russia ( Dunaev and Orlova 2017). We began to study the fauna of reptiles and their distribution in the Volga basin in 1988. Although we registered 20 reptile species in the Volga basin to date, apparently this is not a complete list of species in the region ( Bakiev et al. 2004, Bakiev et al. 2009a, Bakiev et al. 2015, Kirillov et al. 2020). The distribution of reptiles in this region is not fully understood.

          New information

          Our dataset contains information on reptile occurrences in the Volga River basin. The dataset is based on original research by the staff of the Laboratory of Herpetology and Toxinology and Laboratory of Population Ecology of the Institute of Ecology of the Volga River basin of the Russian Academy of Sciences and Joint Directorate of the Mordovia State Nature Reserve and National Park “Smolny”. A total of 5,086 occurrences of 20 species are published for the first time with georeferencing. Many of these reptiles are listed in regional Red Data Lists. The European Pond Turtle Emys orbicularis (Linnaeus, 1758) is included in the IUCN Red List with the category “Near Threatened”.

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          Most cited references44

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          Darwin Core: An Evolving Community-Developed Biodiversity Data Standard

          Biodiversity data derive from myriad sources stored in various formats on many distinct hardware and software platforms. An essential step towards understanding global patterns of biodiversity is to provide a standardized view of these heterogeneous data sources to improve interoperability. Fundamental to this advance are definitions of common terms. This paper describes the evolution and development of Darwin Core, a data standard for publishing and integrating biodiversity information. We focus on the categories of terms that define the standard, differences between simple and relational Darwin Core, how the standard has been implemented, and the community processes that are essential for maintenance and growth of the standard. We present case-study extensions of the Darwin Core into new research communities, including metagenomics and genetic resources. We close by showing how Darwin Core records are integrated to create new knowledge products documenting species distributions and changes due to environmental perturbations.
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            The data paper: a mechanism to incentivize data publishing in biodiversity science

            Background Free and open access to primary biodiversity data is essential for informed decision-making to achieve conservation of biodiversity and sustainable development. However, primary biodiversity data are neither easily accessible nor discoverable. Among several impediments, one is a lack of incentives to data publishers for publishing of their data resources. One such mechanism currently lacking is recognition through conventional scholarly publication of enriched metadata, which should ensure rapid discovery of 'fit-for-use' biodiversity data resources. Discussion We review the state of the art of data discovery options and the mechanisms in place for incentivizing data publishers efforts towards easy, efficient and enhanced publishing, dissemination, sharing and re-use of biodiversity data. We propose the establishment of the 'biodiversity data paper' as one possible mechanism to offer scholarly recognition for efforts and investment by data publishers in authoring rich metadata and publishing them as citable academic papers. While detailing the benefits to data publishers, we describe the objectives, work flow and outcomes of the pilot project commissioned by the Global Biodiversity Information Facility in collaboration with scholarly publishers and pioneered by Pensoft Publishers through its journals Zookeys, PhytoKeys, MycoKeys, BioRisk, NeoBiota, Nature Conservation and the forthcoming Biodiversity Data Journal. We then debate further enhancements of the data paper beyond the pilot project and attempt to forecast the future uptake of data papers as an incentivization mechanism by the stakeholder communities. Conclusions We believe that in addition to recognition for those involved in the data publishing enterprise, data papers will also expedite publishing of fit-for-use biodiversity data resources. However, uptake and establishment of the data paper as a potential mechanism of scholarly recognition requires a high degree of commitment and investment by the cross-sectional stakeholder communities.
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              Strategies and guidelines for scholarly publishing of biodiversity data

              The present paper describes policies and guidelines for scholarly publishing of biodiversity and biodiversity-related data, elaborated and updated during the Framework Program 7 EU BON project, on the basis of an earlier version published on Pensoft's website in 2011. The document discusses some general concepts, including a definition of datasets, incentives to publish data and licenses for data publishing. Further, it defines and compares several routes for data publishing, namely as (1) supplementary files to research articles, which may be made available directly by the publisher, or (2) published in a specialized open data repository with a link to it from the research article, or (3) as a data paper, i.e., a specific, stand-alone publication describing a particular dataset or a collection of datasets, or (4) integrated narrative and data publishing through online import/download of data into/from manuscripts, as provided by the Biodiversity Data Journal. The paper also contains detailed instructions on how to prepare and peer review data intended for publication, listed under the Guidelines for Authors and Reviewers, respectively. Special attention is given to existing standards, protocols and tools to facilitate data publishing, such as the Integrated Publishing Toolkit of the Global Biodiversity Information Facility (GBIF IPT) and the DarwinCore Archive (DwC-A). A separate section describes most leading data hosting/indexing infrastructures and repositories for biodiversity and ecological data.
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                Author and article information

                Contributors
                Journal
                Biodivers Data J
                Biodivers Data J
                1
                urn:lsid:arphahub.com:pub:F9B2E808-C883-5F47-B276-6D62129E4FF4
                urn:lsid:zoobank.org:pub:245B00E9-BFE5-4B4F-B76E-15C30BA74C02
                Biodiversity Data Journal
                Pensoft Publishers
                1314-2836
                1314-2828
                2020
                30 October 2020
                : 8
                : e58033
                Affiliations
                [1 ] Samara Federal Research Center of Russian Academy of Sciences, Institute of Ecology of the Volga River basin of Russian Academy of Sciences, Tolyatti, Russia Samara Federal Research Center of Russian Academy of Sciences, Institute of Ecology of the Volga River basin of Russian Academy of Sciences Tolyatti Russia
                [2 ] Mordovia State Nature Reserve and National Park “Smolny”, Saransk, Russia Mordovia State Nature Reserve and National Park “Smolny” Saransk Russia
                Author notes
                Corresponding author: Anastasia Klenina ( colubrida@ 123456yandex.ru ).

                Academic editor: Dmitry Schigel

                Article
                58033 14572
                10.3897/BDJ.8.e58033
                7648045
                11cfbde3-5ca8-4d72-b5c8-2059e7cc4d3d
                Andrey Bakiev, Alexander Kirillov, Nadezhda Kirillova, Alexander Ruchin, Anastasia Klenina, Roman Gorelov, Natalya Kostina

                This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 27 August 2020
                : 12 October 2020
                Page count
                Figures: 3, Tables: 0, References: 44
                Categories
                Data Paper (Biosciences)
                West of Urals 2020
                Reptilia
                Biodiversity & Conservation
                Russia

                agamidae , anguidae , boidae , colubridae , emydidae , gekkonidae , lacertidae , lamprophiidae , reptilia , viperidae

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