Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Data science landscapetowards resear...
~
Munshi, Usha Mujoo.
Data science landscapetowards research standards and protocols /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Data science landscapeedited by Usha Mujoo Munshi, Neeta Verma.
Reminder of title:
towards research standards and protocols /
other author:
Munshi, Usha Mujoo.
Published:
Singapore :Springer Singapore :2018.
Description:
xvii, 339 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Big data.
Online resource:
http://dx.doi.org/10.1007/978-981-10-7515-5
ISBN:
9789811075155$q(electronic bk.)
Data science landscapetowards research standards and protocols /
Data science landscape
towards research standards and protocols /[electronic resource] :edited by Usha Mujoo Munshi, Neeta Verma. - Singapore :Springer Singapore :2018. - xvii, 339 p. :ill., digital ;24 cm. - Studies in big data,v.382197-6503 ;. - Studies in big data ;v.1..
Chapter 1. Data Science Landscape - Tracking the Ecosystem -- Chapter 2. Open Data Infrastructure for Research and Development -- Chapter 3. Managing Research Data by R&D community in Nuclear Data Science in India -- Chapter 4. Big Data in Astronomy and Beyond -- Chapter 5. Preserving for a More Just Future: Tactics of Activist Data Archiving -- Chapter 6. Little Data from Big Data for Disaster Risk Reduction in India -- Chapter 7. Data Marketplace as a Platform for Sharing Scientific Data -- Chapter 8. ICSSR Data Service: A National Initiative for Sharing of Social Science Research Data -- Chapter 9. Prismatic Consumer Insights through Big Data: A Case Study of National Consumer Helpline -- Chapter 10. Big Data in the Context of Smart Cities: Exploring Urban Planning and Governance -- Chapter 11. Crowd sourcing for Municipal Governance -- Chapter 12. Effective Business Development for In-Market IT Innovations with Industry-driven API Composition -- Chapter 13. The Data that Get Forgotten -- Chapter 14. Big data and Predictive Analytics: A facilitator of Talent Management -- Chapter 15. Privacy Preserving Data Mining Techniques for Hiding Sensitive Data - A Step Towards Open Data -- Chapter 16. Role of Credible Data in Economic Decision Making -- Chapter 17. Big Data in the International System: Indian, American and Other Perspectives -- Chapter 18. Evolving an Industrial Digital Ecosystem - A Case of Leather Industry -- Chapter 19. Applying Big Data Analytics in Governance to Achieve Sustainable Development Goals (SDGs) in India -- Chapter 20. Open Data: India's Initiative for Researchers, Research and Innovation -- Chapter 21. Data Science Management: Some Perspectives.
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.
ISBN: 9789811075155$q(electronic bk.)
Standard No.: 10.1007/978-981-10-7515-5doiSubjects--Topical Terms:
609582
Big data.
LC Class. No.: QA76.9.B45 / D383 2018
Dewey Class. No.: 005.7
Data science landscapetowards research standards and protocols /
LDR
:04525nmm a2200301 a 4500
001
533780
003
DE-He213
005
20180927105803.0
006
m d
007
cr nn 008maaau
008
181205s2018 si s 0 eng d
020
$a
9789811075155$q(electronic bk.)
020
$a
9789811075148$q(paper)
024
7
$a
10.1007/978-981-10-7515-5
$2
doi
035
$a
978-981-10-7515-5
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.9.B45
$b
D383 2018
082
0 4
$a
005.7
$2
23
090
$a
QA76.9.B45
$b
D232 2018
245
0 0
$a
Data science landscape
$h
[electronic resource] :
$b
towards research standards and protocols /
$c
edited by Usha Mujoo Munshi, Neeta Verma.
260
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2018.
300
$a
xvii, 339 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Studies in big data,
$x
2197-6503 ;
$v
v.38
505
0
$a
Chapter 1. Data Science Landscape - Tracking the Ecosystem -- Chapter 2. Open Data Infrastructure for Research and Development -- Chapter 3. Managing Research Data by R&D community in Nuclear Data Science in India -- Chapter 4. Big Data in Astronomy and Beyond -- Chapter 5. Preserving for a More Just Future: Tactics of Activist Data Archiving -- Chapter 6. Little Data from Big Data for Disaster Risk Reduction in India -- Chapter 7. Data Marketplace as a Platform for Sharing Scientific Data -- Chapter 8. ICSSR Data Service: A National Initiative for Sharing of Social Science Research Data -- Chapter 9. Prismatic Consumer Insights through Big Data: A Case Study of National Consumer Helpline -- Chapter 10. Big Data in the Context of Smart Cities: Exploring Urban Planning and Governance -- Chapter 11. Crowd sourcing for Municipal Governance -- Chapter 12. Effective Business Development for In-Market IT Innovations with Industry-driven API Composition -- Chapter 13. The Data that Get Forgotten -- Chapter 14. Big data and Predictive Analytics: A facilitator of Talent Management -- Chapter 15. Privacy Preserving Data Mining Techniques for Hiding Sensitive Data - A Step Towards Open Data -- Chapter 16. Role of Credible Data in Economic Decision Making -- Chapter 17. Big Data in the International System: Indian, American and Other Perspectives -- Chapter 18. Evolving an Industrial Digital Ecosystem - A Case of Leather Industry -- Chapter 19. Applying Big Data Analytics in Governance to Achieve Sustainable Development Goals (SDGs) in India -- Chapter 20. Open Data: India's Initiative for Researchers, Research and Innovation -- Chapter 21. Data Science Management: Some Perspectives.
520
$a
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.
650
0
$a
Big data.
$3
609582
650
0
$a
Database management.
$3
182428
650
0
$a
Internet of things.
$3
670954
650
1 4
$a
Computer Science.
$3
212513
650
2 4
$a
Big Data.
$3
760530
650
2 4
$a
Database Management.
$3
273994
650
2 4
$a
Big Data/Analytics.
$3
742047
700
1
$a
Munshi, Usha Mujoo.
$3
575643
700
1
$a
Verma, Neeta.
$3
809632
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
Studies in big data ;
$v
v.1.
$3
675357
856
4 0
$u
http://dx.doi.org/10.1007/978-981-10-7515-5
950
$a
Engineering (Springer-11647)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000154370
電子館藏
1圖書
電子書
EB QA76.9.B45 D232 2018 2018
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
http://dx.doi.org/10.1007/978-981-10-7515-5
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login