Munshi, Usha Mujoo
Data Science Landscape
1.
Usha Mujoo Munshi
2. Open Data Infrastructure for Research and Development
Neeta Verma, M. P. Gupta, Shubhadip Biswas
3. Managing Research Data by R&D Community in Nuclear Data Science in India
S. Ganesan
4. Big Data in Astronomy and Beyond
Ajit Kembhavi
5. Preserving for a More Just Future: Tactics of Activist Data Archiving
Morgan Currie, Joan Donovan, Brittany Paris
6. Little Data from Big Data for Disaster Risk Reduction in India
Vinod K. Sharma, Ashutosh Dev Kaushik
7. Data Marketplace as a Platform for Sharing Scientific Data
Hiranmay Ghosh
8.
Jagdish Arora, Pallab Pradhan, Yatrik Patel, Miteshkumar Pandya, Hiteshkumar Solanki, Divyakant Vaghela
9.
Suresh Misra, Deepika Sur
10.
Sushma Yadav, Gadadhara Mohapatra
11.
K. K. Pandey
12.
Biplav Srivastava, Malolan Chetlur, Sachin Gupta, Mitesh Vasa, Karthik Visweswariah
13. The Data that Get Forgotten
Elizabeth Griffin
14.
Neetu Jain, Maitri
15.
Durga Toshniwal
16. Role of
Geethanjali Nataraj, Ashwani Bishnoi
17. Big Data in the International System: Indian, American, and Other Perspectives
Manan Dwivedi
18. Evolving an Industrial Digital Ecosystem: A Transformative Case of Leather Industry
Latha Anantharaman, M. R. Sridharan
19. Applying Big Data Analytics in Governance to Achieve Sustainable Development Goals (SDGs) in India
Charru Malhotra, Rashmi Anand, Shauryavir Singh
20. Open Data: India’s Initiative for Researchers, Research, and Innovation
Neeta Verma, Alka Mishra
21. Data Management, Sharing and Services: Issues of Attitude Towards Data Citation and Role of Data Stakeholders
O. P. Wali
22. UK-India Research and Innovation Collaboration: Taking Forward Collaboration on Big Data and E-infrastructure
Nafees Meah
23. The Urgent Need to Overcome a Generation Gap in
Biplav Srivastava
24.
Surabhi Pandey, G. N. Purohit, Usha Mujoo Munshi
Keywords: Computer Science, Big Data, Database Management, Big Data/Analytics
- Editor
- Munshi, Usha Mujoo
- Verma, Neeta
- Publisher
- Springer
- Publication year
- 2018
- Language
- en
- Edition
- 1
- Series
- Studies in Big Data
- Page amount
- 17 pages
- Category
- Information Technology, Telecommunications
- Format
- Ebook
- eISBN (PDF)
- 9789811075155
- Printed ISBN
- 978-981-10-7514-8