Screen LibraryData science landscape : towards research standards and protocols /
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...
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| Group Author: | ; |
|---|---|
| Published: |
Springer
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| Publisher Address: | Singapore : |
| Publication Dates: | [2018] |
| Literature type: | Book |
| Language: | English |
| Series: |
Studies in big data,
volume 38 |
| Subjects: | |
| Summary: |
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 o |
| Carrier Form: | xvii, 339 pages : illustrations ; 25 cm. |
| Bibliography: | Includes bibliographical references and indexes. |
| ISBN: |
9789811075148 981107514X |
| Index Number: | QA76 |
| CLC: | TP311.131 |
| Call Number: | TP311.131/D232-7 |
| Contents: |
Data science landscape : tracking the ecosystem / Open data infrastructure for research and development / Managing research data by R&D community in nuclear data science in India / Big data in astronomy and beyond / Preserving for a more just future : tactics of activist data archiving / Little data from big data for disaster risk reduction in India / Data marketplace as a platform for shari |