A Framework for Global Collaborative Data Management for Malaria Research

Am J Trop Med Hyg. 2015 Sep;93(3 Suppl):124-132. doi: 10.4269/ajtmh.15-0003. Epub 2015 Aug 10.

Abstract

Data generated during the course of research activities carried out by the International Centers of Excellence for Malaria Research (ICEMR) is heterogeneous, large, and multi-scaled. The complexity of federated and global data operations and the diverse uses planned for the data pose tremendous challenges and opportunities for collaborative research. In this article, we present the foundational principles for data management across the ICEMR Program, the logistics associated with multiple aspects of the data life cycle, and describe a pilot centralized web information system created in PlasmoDB to query a subset of this data. The paradigm proposed as a solution for the data operations in the ICEMR Program is widely applicable to large, multifaceted research projects, and could be reproduced in other contexts that require sophisticated data management.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Biomedical Research / organization & administration
  • Cooperative Behavior
  • Databases, Factual
  • Humans
  • Information Management / ethics
  • Information Management / organization & administration*
  • International Cooperation*
  • Malaria / epidemiology*
  • Malaria / prevention & control
  • Plasmodium
  • Quality Control
  • Software