Advertisement

Data Management in Clinical Research

  • Karthik Balachandran
  • Sadishkumar Kamalanathan
Chapter

Abstract

  • Data management is an important part of clinical research.

  • It involves planning, acquiring, processing, analyzing, preserving and publishing/sharing data.

  • Each step needs to be documented for maximum reproducibility.

  • Several software options exist to do the same—the choice of which depends on several factors.

  • Using REDCap (or a similar software) takes care of each of these steps and is recommended for data management.

References

  1. 1.
    Krishnankutty B, Bellary S, Kumar NBR, Moodahadu LS. Data management in clinical research, an overview. Indian J Pharmacol. 2012;44:168–72.CrossRefGoogle Scholar
  2. 2.
    Perrier L, Blondal E, Ayala AP, et al. Research data management in academic institutions, a scoping review. PLoS One. 2017;12:e0178261.CrossRefGoogle Scholar
  3. 3.
    Williams M, Bagwell J, Nahm Zozus M. Data management plans, the missing perspective. J Biomed Inform. 2017;71:130–42.CrossRefGoogle Scholar
  4. 4.
    Juul S. Take good care of your data. Aarhus: Aarhus University, Department of Public Health; 2006.Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Karthik Balachandran
    • 1
  • Sadishkumar Kamalanathan
    • 2
  1. 1.Department of EndocrinologySri Ramachandra Medical College and Research InstituteChennaiIndia
  2. 2.Department of EndocrinologyJawaharlal Institute of Post Graduate Medical Education and ResearchPondicherryIndia

Personalised recommendations