Advances in Data Sharing

Data sharing is the practice of making data used for scholarly research available to other investigators. Many funding agencies, institutions, and publication venues have policies regarding data sharing because transparency and openness are considered by many to be part of the scientific method.

Sample Chapter(s)
preface (102 KB)
Components of the Book:
  • Chapter 1
    Heterogeneous Self‑Tracked Health And Fitness Data Integration And Sharing According To A Linked Open Data Approach
  • Chapter 2
    It Is Not (Only) About Privacy: How Multi‑Party Computation Redefines Control, Trust, And Risk In Data Sharing
  • Chapter 3
    Advancing Data Science In Drug Development Through An Innovative Computational Framework For Data Sharing And Statistical Analysis
  • Chapter 4
    Share And Protect Our Health Data: An Evidence Based Approach To Rare Disease Patients’ Perspectives On Data Sharing And Data Protection - Quantitative Survey And Recommendations
  • Chapter 5
    Trust In Farm Data Sharing: Reflections On The Eu Code Of Conduct For Agricultural Data Sharing
  • Chapter 6
    Equitable Data Sharing In Epidemics And Pandemics
  • Chapter 7
    The Data Sharing Economy: On The Emergence Of New Intermediaries
  • Chapter 8
    What Ethical Approaches Are Used By Scientists When Sharing Health Data? An Interview Study
  • Chapter 9
    A Systematic Literature Review Of Researchers’ And Healthcare Professionals’ Attitudes Towards The Secondary Use And Sharing Of Health Administrative And Clinical Trial Data
  • Chapter 10
    Security Controls In An Integrated Biobank To Protect Privacy In Data Sharing: Rationale And Study Design
  • Chapter 11
    Data‑Sharing Markets For Integrating Iot Data Processing Functionalities
  • Chapter 12
    Exploring Factors Associated With Views On Sharing Of Certain Interim Trial Result Measures By The Data Safety Monitoring Board (Dsmb) With Non-Dsmb Members
  • Chapter 13
    Efspi/Psi Working Group On Data Sharing: Accessing And Working With Pharmaceutical Clinical Trial Patient Level Datasets – A Primer For Academic Researchers
  • Chapter 14
    Prised Tangle: A Privacy-Aware Framework For Smart Healthcare Data Sharing Using Iota Tangle
  • Chapter 15
    Survey Of Professional Views On Sharing Interim Results By The Data Safety Monitoring Board (Dsmb): What To Share, With Whom And Why
Readership: Students, academics, teachers and other people attending or interested in Data Sharing
Wirawan Agahari
Faculty of Technology, Policy, and Management, Delft University of Technology, Jaffalaan 5, 2628 BX Delft, the Netherlands

Simone van der Burg
Wageningen Economic Research, Wageningen University and Research, Droevendaalsesteeg 4, 6708 PB Wageningen, The Netherlands

Elizabeth Hutchings
Northern Clinical School, Faculty of Medicine, University of Sydney, Sydney, Australia

Masao Nagasaki
Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Japan

Nasr Kasrin
Chair of Mobile Systems, University of Bamberg, An der Weberei 5, 96047 Bamberg, Germany
and more...
This Book

258pp. Published July 2022

Scientific Research Publishing, Inc.

Category:Computer Science & Communications

ISBN: 978-1-64997-491-4

(Paperback) USD 59.00

Authors/Editors Price: 40% off
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