ISBN: 9789811339608 - Data Science Landscape: Towards Research Standards and Protocols: 38 (studies in Big Data, 38) (14 results)

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  • Language: English

    Published by Springer, 2019

    9811339600 / 9789811339608

    Series: Book 33 of 95 - Studies in Big Data

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  • Language: English

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  • Language: English

    Published by Springer, 2019

    9811339600 / 9789811339608

    Series: Book 33 of 95 - Studies in Big Data

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  • Language: English

    Published by Springer, 2019

    9811339600 / 9789811339608

    Series: Book 33 of 95 - Studies in Big Data

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    Condition: New. pp. 339.

  • Language: English

    Published by Springer, 2019

    9811339600 / 9789811339608

    Series: Book 33 of 95 - Studies in Big Data

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    Taschenbuch. Condition: Neu. Data Science Landscape | Towards Research Standards and Protocols | Usha Mujoo Munshi (u. a.) | Taschenbuch | Studies in Big Data | xvii | Englisch | 2019 | Springer | EAN 9789811339608 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

  • Language: English

    Published by Springer, 2019

    9811339600 / 9789811339608

    Series: Book 33 of 95 - Studies in Big Data

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  • Language: English

    Published by Springer, 2019

    9811339600 / 9789811339608

    Series: Book 33 of 95 - Studies in Big Data

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  • Language: English

    Published by Springer 2019-02, 2019

    9811339600 / 9789811339608

    Series: Book 33 of 95 - Studies in Big Data

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    PF. Condition: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

  • Language: English

    Published by Springer Nature Singapore Feb 2019, 2019

    9811339600 / 9789811339608

    Series: Book 33 of 95 - Studies in Big Data

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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The edited volume deals with different contours of data science with special reference to data management for the research innovation landscape. The data is becoming pervasive in all spheres of human, economic and development activity. In this context, it is important to take stock of what is being done in the data management area and begin to prioritize, consider and formulate adoption of a formal data management system including citation protocols for use by research communities in different disciplines and also address various technical research issues. The volume, thus, focuses on some of these issues drawing typical examples from various domains. The idea of this work germinated from the two day workshop on 'Big and Open Data - Evolving Data Science Standards and Citation Attribution Practices', an international workshop, led by the ICSU-CODATA and attended by over 300 domain experts. The Workshop focused on two priority areas (i) Big and Open Data: Prioritizing, Addressing and Establishing Standards and Good Practices and (ii) Big and Open Data: Data Attribution and Citation Practices. This important international event was part of a worldwide initiative led by ICSU, and the CODATA-Data Citation Task Group. In all, there are 21 chapters (with 21st Chapter addressing four different core aspects) written by eminent researchers in the field which deal with key issues of S&T, institutional, financial, sustainability, legal, IPR, data protocols, community norms and others, that need attention related to data management practices and protocols, coordinate area activities, and promote common practices and standards of the research community globally. In addition to the aspects touched above, the national / international perspectives of data and its various contours have also been portrayed through case studies in this volume. 360 pp. Englisch. …

  • Language: English

    Published by Springer Singapore, 2019

    9811339600 / 9789811339608

    Series: Book 33 of 95 - Studies in Big Data

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    Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Concentrates on the important gap in research data infrastructure, the absence of broad availability and use of data citation protocolsFocuses on various vivid dimensions of data science, such as right data quality, storage, metadata, accessibilit.…

  • Language: English

    Published by Palgrave Macmillan, 2019

    9811339600 / 9789811339608

    Series: Book 33 of 95 - Studies in Big Data

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The edited volume deals with different contours of data science with special reference to data management for the research innovation landscape. The data is becoming pervasive in all spheres of human, economic and development activity. In this context, it is important to take stock of what is being done in the data management area and begin to prioritize, consider and formulate adoption of a formal data management system including citation protocols for use by research communities in different disciplines and also address various technical research issues. The volume, thus, focuses on some of these issues drawing typical examples from various domains. The idea of this work germinated from the two day workshop on 'Big and Open Data - Evolving Data Science Standards and Citation Attribution Practices', an international workshop, led by the ICSU-CODATA and attended by over 300 domain experts. The Workshop focused on two priority areas (i) Big and Open Data: Prioritizing, Addressing and Establishing Standards and Good Practices and (ii) Big and Open Data: Data Attribution and Citation Practices. This important international event was part of a worldwide initiative led by ICSU, and the CODATA-Data Citation Task Group. In all, there are 21 chapters (with 21st Chapter addressing four different core aspects) written by eminent researchers in the field which deal with key issues of S&T, institutional, financial, sustainability, legal, IPR, data protocols, community norms and others, that need attention related to data management practices and protocols, coordinate area activities, and promote common practices and standards of the research community globally. In addition to the aspects touched above, the national / international perspectives of data and its various contours have also been portrayed through case studies in this volume. …

  • Language: English

    Published by Springer, 2019

    9811339600 / 9789811339608

    Series: Book 33 of 95 - Studies in Big Data

    • Softcover
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    Condition: New. Print on Demand pp. 339.

  • Language: English

    Published by Springer, Springer Feb 2019, 2019

    9811339600 / 9789811339608

    Series: Book 33 of 95 - Studies in Big Data

    • Softcover
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    Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The edited volume deals with different contours of data science with special reference to data management for the research innovation landscape. The data is becoming pervasive in all spheres of human, economic and development activity. In this context, it is important to take stock of what is being done in the data management area and begin to prioritize, consider and formulate adoption of a formal data management system including citation protocols for use by research communities in different disciplines and also address various technical research issues. The volume, thus, focuses on some of these issues drawing typical examples from various domains. The idea of this work germinated from the two day workshop on ¿Big and Open Data ¿ Evolving Data Science Standards and Citation Attribution Practices¿, an international workshop, led by the ICSU-CODATA and attended by over 300 domain experts. The Workshop focused on two priority areas (i) Big and Open Data: Prioritizing, Addressing and Establishing Standards and Good Practices and (ii) Big and Open Data: Data Attribution and Citation Practices. This important international event was part of a worldwide initiative led by ICSU, and the CODATA-Data Citation Task Group.In all, there are 21 chapters (with 21st Chapter addressing four different core aspects) written by eminent researchers in the field which deal with key issues of S&T, institutional, financial, sustainability, legal, IPR, data protocols, community norms and others, that need attention related to data management practices and protocols, coordinate area activities, and promote common practices and standards of the research community globally. In addition to the aspects touched above, the national / international perspectives of data and its various contours have also been portrayed through case studies in this volume.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 360 pp. Englisch. …

  • Language: English

    Published by Springer, 2019

    9811339600 / 9789811339608

    Series: Book 33 of 95 - Studies in Big Data

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    Condition: New. PRINT ON DEMAND pp. 339.