Inbunden, Engelska, 2026
346 kr
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Usha Mujoo Munshi – författare
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5 produkter
5 produkter
- Del 38 - Studies in Big Data
Data Science Landscape
Towards Research Standards and Protocols
Inbunden, Engelska, 20181 116 kr
Skickas inom 10-15 vardagar
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. - E-bokEngelska, 2018
1 211 kr
Läs direkt efter köp
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. - Del 38 - Studies in Big Data
Data Science Landscape
Towards Research Standards and Protocols
Häftad, Engelska, 2019950 kr
Skickas inom 10-15 vardagar
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. - Del 10 - STATISTICAL SCIENCE AND INTERDISCIPLINARY RESEARCH
MULTIMEDIA INFORMATION EXTRACTION AND DIGITAL HERITAGE PRESERVATION
Inbunden, Engelska, 20112 099 kr
Skickas inom 3-6 vardagar
Multimedia Information Extraction and Digital Heritage Preservation is an edited volume of contributions by various distinguished researchers on issues in digital libraries, particularly in connection with heritage documents. This excellent collection of 21 papers covers various aspects of the problem. Cultural and scientific heritage resources are of fundamental value for human civilization, and their preservation is of utmost importance to mankind. Such preservation work has two aspects. First, the preservation of original objects and documents at source or in museums, and two, preservation of their imaged replica in digital form in libraries and other archives. The second approach is essential because objects may disintegrate due to age or ruin by disasters like earthquake, fire, flood, war and also vandalism. The imaged replica and associated digital database will at least prove their past existence and provide sufficient information if they are wiped out of the world. Even for physical preservation of the currently available heritage documents, digital systems and approaches are of great importance in many ways.This book contains efforts on digital preservation of both textual and non-textual matters. In addition, it focuses on digital content and community building for archiving and global sharing of cultural and heritage resources. It contains work ranging from multimedia digital library development, image retrieval from traditional metadata-based to content-based indexing and retrieval, making it a blend of traditional and contemporary issues in the digital preservation and information extraction of heritage documents.The volume focuses on research-oriented work, which can help opening up new vistas of research for the research community, and explore new mechanisms of retrieval of information from Multi-media documents, particularly from heritage documents, apart from using the conventional methods.This volume would find its place among personnel in libraries, museum, archives and other such institutions dealing with preservation, archiving and retrieval of heritage documents. Among the academic community, computer science, library science and information science community will also benefit from this book.
