Data Science Landscape

Lingua: inglese

Editore: Springer Nature Singapore Mrz 2018, 2018

981107514X / 9789811075148

Serie: Libro 33 di 95 - Studies in Big Data

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

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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.

Codice articolo 9789811075148

Titolo
Data Science Landscape
Autore
Neeta Verma
Editore
Springer Nature Singapore Mrz 2018
Anno di pubblicazione
2018
Condizione
Neu
Rilegatura
Buch
Lingua
inglese
ISBN 10
981107514X
ISBN 13
9789811075148
Peso dell'articolo
705 grammi
Dimensioni
241x160x25 mm
Serie
Libro 33 di 95: Studies in Big Data

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germania

Venditore con 5 stelle

Venditore AbeBooks dal 11 gennaio 2012

Tariffe di spedizione da Germania a U.S.A.

ArticoloDa 5 a 15 giorni lavorativiDa 5 a 15 giorni lavorativi
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BuchWeltWeit Ludwig Meier e.K.

Germania