Data Science Landscape

Towards Research Standards and Protocols

  • Usha Mujoo Munshi
  • Neeta Verma

Part of the Studies in Big Data book series (SBD, volume 38)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Usha Mujoo Munshi
    Pages 1-31
  3. Neeta Verma, M. P. Gupta, Shubhadip Biswas
    Pages 33-43
  4. Ajit Kembhavi
    Pages 59-66
  5. Morgan Currie, Joan Donovan, Brittany Paris
    Pages 67-78
  6. Vinod K. Sharma, Ashutosh Dev Kaushik
    Pages 79-97
  7. Jagdish Arora, Pallab Pradhan, Yatrik Patel, Miteshkumar Pandya, Hiteshkumar Solanki, Divyakant Vaghela
    Pages 107-125
  8. K. K. Pandey
    Pages 151-164
  9. Biplav Srivastava, Malolan Chetlur, Sachin Gupta, Mitesh Vasa, Karthik Visweswariah
    Pages 165-181
  10. Elizabeth Griffin
    Pages 183-198
  11. Geethanjali Nataraj, Ashwani Bishnoi
    Pages 213-234
  12. Surabhi Pandey, G. N. Purohit, Usha Mujoo Munshi
    Pages 321-326
  13. Back Matter
    Pages 327-339

About this book


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.  


Big Data Data Citation protocol Citation Standards Big Data Principles Data Repositories Data Management Data attribution Open Data standards Research data infrastructure

Editors and affiliations

  • Usha Mujoo Munshi
    • 1
  • Neeta Verma
    • 2
  1. 1.Indian Institute of Public AdministrationNew DelhiIndia
  2. 2.National Informatics CentreNew DelhiIndia

Bibliographic information

  • DOI
  • Copyright Information Springer Nature Singapore Pte Ltd. 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-10-7514-8
  • Online ISBN 978-981-10-7515-5
  • Series Print ISSN 2197-6503
  • Series Online ISSN 2197-6511
  • Buy this book on publisher's site