Isbn: 9789811339608 - data science landscape: towards research standards and protocols: 38 (13 risultati)

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  • Lingua: Inglese

    Editore: Springer, 2019

    9811339600 / 9789811339608

    Serie: Libro 33 di 95 - Studies in Big Data

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  • Lingua: Inglese

    Editore: Springer 2019-02-02, 2019

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  • Lingua: Inglese

    Editore: Springer, 2019

    9811339600 / 9789811339608

    Serie: Libro 33 di 95 - Studies in Big Data

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  • Lingua: Inglese

    Editore: Springer, 2019

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    Serie: Libro 33 di 95 - Studies in Big Data

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    Taschenbuch. Condizione: 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.

  • Lingua: Inglese

    Editore: Springer, Springer, 2019

    9811339600 / 9789811339608

    Serie: Libro 33 di 95 - Studies in Big Data

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Taschenbuch. Condizione: Neu. Druck auf Anfrage 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.

  • Lingua: Inglese

    Editore: Springer, 2019

    9811339600 / 9789811339608

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    Paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Lingua: Inglese

    Editore: Springer, 2019

    9811339600 / 9789811339608

    Serie: Libro 33 di 95 - Studies in Big Data

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    Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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  • Lingua: Inglese

    Editore: Springer Nature Singapore Feb 2019, 2019

    9811339600 / 9789811339608

    Serie: Libro 33 di 95 - Studies in Big Data

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condizione: 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.

  • Lingua: Inglese

    Editore: Springer Singapore, 2019

    9811339600 / 9789811339608

    Serie: Libro 33 di 95 - Studies in Big Data

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    Kartoniert / Broschiert. Condizione: 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.

  • Lingua: Inglese

    Editore: Springer, 2019

    9811339600 / 9789811339608

    Serie: Libro 33 di 95 - Studies in Big Data

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    Condizione: New. Print on Demand pp. 339.

  • Lingua: Inglese

    Editore: Springer, 2019

    9811339600 / 9789811339608

    Serie: Libro 33 di 95 - Studies in Big Data

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    EUR 129,32

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    Condizione: New. PRINT ON DEMAND pp. 339.

  • Lingua: Inglese

    Editore: Springer, Springer Feb 2019, 2019

    9811339600 / 9789811339608

    Serie: Libro 33 di 95 - Studies in Big Data

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    Taschenbuch. Condizione: 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.